Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms.[1][2] The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations without direct enforcement power like the IEEE or the OECD.[3]
Since 2016, numerous AI ethics guidelines have been published in order to maintain social control over the technology.[4] Regulation is deemed necessary to both foster AI innovation and manage associated risks.
Furthermore, organizations deploying AI have a central role to play in creating and implementing trustworthy AI, adhering to established principles, and taking accountability for mitigating risks.[5]
Regulating AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem.[6][7]
Background
According to Stanford University's 2023 AI Index, the annual number of bills mentioning "artificial intelligence" passed in 127 surveyed countries jumped from one in 2016 to 37 in 2022.[8][9]
In 2017, Elon Musk called for regulation of AI development.[10] According to NPR, the Tesla CEO was "clearly not thrilled" to be advocating for government scrutiny that could impact his own industry, but believed the risks of going completely without oversight are high: "Normally the way regulations are set up is when a bunch of bad things happen, there's a public outcry, and after many years a regulatory agency is set up to regulate that industry. It takes forever. That, in the past, has been bad but not something which represented a fundamental risk to the existence of civilization."[10] In response, some politicians expressed skepticism about the wisdom of regulating a technology that is still in development.[11] Responding both to Musk and to February 2017 proposals by European Union lawmakers to regulate AI and robotics, Intel CEO Brian Krzanich has argued that AI is in its infancy and that it is too early to regulate the technology.[12] Many tech companies oppose the harsh regulation of AI and "While some of the companies have said they welcome rules around A.I., they have also argued against tough regulations akin to those being created in Europe" [13] Instead of trying to regulate the technology itself, some scholars suggested developing common norms including requirements for the testing and transparency of algorithms, possibly in combination with some form of warranty.[14]
In a 2022 Ipsos survey, attitudes towards AI varied greatly by country; 78% of Chinese citizens, but only 35% of Americans, agreed that "products and services using AI have more benefits than drawbacks".[8] A 2023 Reuters/Ipsos poll found that 61% of Americans agree, and 22% disagree, that AI poses risks to humanity.[15] In a 2023 Fox News poll, 35% of Americans thought it "very important", and an additional 41% thought it "somewhat important", for the federal government to regulate AI, versus 13% responding "not very important" and 8% responding "not at all important".[16][17]
Perspectives
The regulation of artificial intelligences is the development of public sector policies and laws for promoting and regulating AI.[18] Regulation is now generally considered necessary to both encourage AI and manage associated risks.[19][20][21] Public administration and policy considerations generally focus on the technical and economic implications and on trustworthy and human-centered AI systems,[22] although regulation of artificial superintelligences is also considered.[23] The basic approach to regulation focuses on the risks and biases of machine-learning algorithms, at the level of the input data, algorithm testing, and decision model. It also focuses on the explainability of the outputs.[20]
There have been both hard law and soft law proposals to regulate AI.[24] Some legal scholars have noted that hard law approaches to AI regulation have substantial challenges.[25][26] Among the challenges, AI technology is rapidly evolving leading to a "pacing problem" where traditional laws and regulations often cannot keep up with emerging applications and their associated risks and benefits.[25][26] Similarly, the diversity of AI applications challenges existing regulatory agencies, which often have limited jurisdictional scope.[25] As an alternative, some legal scholars argue that soft law approaches to AI regulation are promising because soft laws can be adapted more flexibly to meet the needs of emerging and evolving AI technology and nascent applications.[25][26] However, soft law approaches often lack substantial enforcement potential.[25][27]
Cason Schmit, Megan Doerr, and Jennifer Wagner proposed the creation of a quasi-governmental regulator by leveraging intellectual property rights (i.e., copyleft licensing) in certain AI objects (i.e., AI models and training datasets) and delegating enforcement rights to a designated enforcement entity.[28] They argue that AI can be licensed under terms that require adherence to specified ethical practices and codes of conduct. (e.g., soft law principles).[28]
Prominent youth organizations focused on AI, namely Encode Justice, have also issued comprehensive agendas calling for more stringent AI regulations and public-private partnerships.[29][30]
AI regulation could derive from basic principles. A 2020 Berkman Klein Center for Internet & Society meta-review of existing sets of principles, such as the Asilomar Principles and the Beijing Principles, identified eight such basic principles: privacy, accountability, safety and security, transparency and explainability, fairness and non-discrimination, human control of technology, professional responsibility, and respect for human values.[31] AI law and regulations have been divided into three main topics, namely governance of autonomous intelligence systems, responsibility and accountability for the systems, and privacy and safety issues.[19] A public administration approach sees a relationship between AI law and regulation, the ethics of AI, and 'AI society', defined as workforce substitution and transformation, social acceptance and trust in AI, and the transformation of human to machine interaction.[32] The development of public sector strategies for management and regulation of AI is deemed necessary at the local, national,[33] and international levels[34] and in a variety of fields, from public service management[35] and accountability[36] to law enforcement,[34][37] healthcare (especially the concept of a Human Guarantee),[38][39][40][41][42] the financial sector,[33] robotics,[43][44] autonomous vehicles,[43] the military[45] and national security,[46] and international law.[47][48]
Regulation of AI can be seen as positive social means to manage the AI control problem (the need to ensure long-term beneficial AI), with other social responses such as doing nothing or banning being seen as impractical, and approaches such as enhancing human capabilities through transhumanism techniques like brain-computer interfaces being seen as potentially complementary.[7][50] Regulation of research into artificial general intelligence (AGI) focuses on the role of review boards, from university or corporation to international levels, and on encouraging research into AI safety,[50] together with the possibility of differential intellectual progress (prioritizing protective strategies over risky strategies in AI development) or conducting international mass surveillance to perform AGI arms control.[7] For instance, the 'AGI Nanny' is a proposed strategy, potentially under the control of humanity, for preventing the creation of a dangerous superintelligence as well as for addressing other major threats to human well-being, such as subversion of the global financial system, until a true superintelligence can be safely created. It entails the creation of a smarter-than-human, but not superintelligent, AGI system connected to a large surveillance network, with the goal of monitoring humanity and protecting it from danger.[7] Regulation of conscious, ethically aware AGIs focuses on how to integrate them with existing human society and can be divided into considerations of their legal standing and of their moral rights.[7] Regulation of AI has been seen as restrictive, with a risk of preventing the development of AGI.[43]
Global guidance
Organizations polled largely agree that companies developing foundation models will be responsible for associated risks (rather than those using it), and that global governance is required to address risks from generative AI.
The development of a global governance board to regulate AI development was suggested at least as early as 2017.[52] In December 2018, Canada and France announced plans for a G7-backed International Panel on Artificial Intelligence, modeled on the International Panel on Climate Change, to study the global effects of AI on people and economies and to steer AI development.[53] In 2019, the Panel was renamed the Global Partnership on AI.[54][55]
The Global Partnership on Artificial Intelligence (GPAI) was launched in June 2020, stating a need for AI to be developed in accordance with human rights and democratic values, to ensure public confidence and trust in the technology, as outlined in the OECDPrinciples on Artificial Intelligence (2019).[56] The 15 founding members of the Global Partnership on Artificial Intelligence are Australia, Canada, the European Union, France, Germany, India, Italy, Japan, the Republic of Korea, Mexico, New Zealand, Singapore, Slovenia, the United States and the UK. In 2023, the GPAI has 29 members.[57] The GPAI Secretariat is hosted by the OECD in Paris, France. GPAI's mandate covers four themes, two of which are supported by the International Centre of Expertise in Montréal for the Advancement of Artificial Intelligence, namely, responsible AI and data governance. A corresponding centre of excellence in Paris will support the other two themes on the future of work, and on innovation and commercialization. GPAI also investigated how AI can be leveraged to respond to the COVID-19 pandemic.[56]
The OECD AI Principles[58] were adopted in May 2019, and the G20 AI Principles in June 2019.[55][59][60] In September 2019 the World Economic Forum issued ten 'AI Government Procurement Guidelines'.[61] In February 2020, the European Union published its draft strategy paper for promoting and regulating AI.[34]
At the United Nations (UN), several entities have begun to promote and discuss aspects of AI regulation and policy, including the UNICRI Centre for AI and Robotics.[46] In partnership with INTERPOL, UNICRI's Centre issued the report AI and Robotics for Law Enforcement in April 2019[62] and the follow-up report Towards Responsible AI Innovation in May 2020.[37] At UNESCO's Scientific 40th session in November 2019, the organization commenced a two-year process to achieve a "global standard-setting instrument on ethics of artificial intelligence". In pursuit of this goal, UNESCO forums and conferences on AI were held to gather stakeholder views. A draft text of a Recommendation on the Ethics of AI of the UNESCO Ad Hoc Expert Group was issued in September 2020 and included a call for legislative gaps to be filled.[63] UNESCO tabled the international instrument on the ethics of AI for adoption at its General Conference in November 2021;[56] this was subsequently adopted.[64] While the UN is making progress with the global management of AI, its institutional and legal capability to manage the AGI existential risk is more limited.[65]
An initiative of International Telecommunication Union (ITU) in partnership with 40 UN sister agencies, AI for Good is a global platform which aims to identify practical applications of AI to advance the United Nations Sustainable Development Goals and scale those solutions for global impact. It is an action-oriented, global & inclusive United Nations platform fostering development of AI to positively impact health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities.[citation needed]
Recent research has indicated that countries will also begin to use artificial intelligence as a tool for national cyberdefense. AI is a new factor in the cyber arms industry, as it can be used for defense purposes. Therefore, academics urge that nations should establish regulations for the use of AI, similar to how there are regulations for other military industries.[66]
Regional and national regulation
Timeline of strategies, action plans and policy papers setting defining national, regional and international approaches to AI
The regulatory and policy landscape for AI is an emerging issue in regional and national jurisdictions globally, for example in the European Union[68] and Russia.[69] Since early 2016, many national, regional and international authorities have begun adopting strategies, actions plans and policy papers on AI.[70][71] These documents cover a wide range of topics such as regulation and governance, as well as industrial strategy, research, talent and infrastructure.[22][72]
Different countries have approached the problem in different ways. Regarding the three largest economies, it has been said that "the United States is following a market-driven approach, China is advancing a state-driven approach, and the EU is pursuing a rights-driven approach."[73]
On September 30, 2021, the Brazilian Chamber of Deputies approved the Brazilian Legal Framework for Artificial Intelligence, Marco Legal da Inteligência Artificial, in regulatory efforts for the development and usage of AI technologies and to further stimulate research and innovation in AI solutions aimed at ethics, culture, justice, fairness, and accountability. This 10 article bill outlines objectives including missions to contribute to the elaboration of ethical principles, promote sustained investments in research, and remove barriers to innovation. Specifically, in article 4, the bill emphasizes the avoidance of discriminatory AI solutions, plurality, and respect for human rights. Furthermore, this act emphasizes the importance of the equality principle in deliberate decision-making algorithms, especially for highly diverse and multiethnic societies like that of Brazil.
When the bill was first released to the public, it faced substantial criticism, alarming the government for critical provisions. The underlying issue is that this bill fails to thoroughly and carefully address accountability, transparency, and inclusivity principles. Article VI establishes subjective liability, meaning any individual that is damaged by an AI system and is wishing to receive compensation must specify the stakeholder and prove that there was a mistake in the machine's life cycle. Scholars emphasize that it is out of legal order to assign an individual responsible for proving algorithmic errors given the high degree of autonomy, unpredictability, and complexity of AI systems. This also drew attention to the currently occurring issues with face recognition systems in Brazil leading to unjust arrests by the police, which would then imply that when this bill is adopted, individuals would have to prove and justify these machine errors.
The main controversy of this draft bill was directed to three proposed principles. First, the non-discrimination principle, suggests that AI must be developed and used in a way that merely mitigates the possibility of abusive and discriminatory practices. Secondly, the pursuit of neutrality principle lists recommendations for stakeholders to mitigate biases; however, with no obligation to achieve this goal. Lastly, the transparency principle states that a system's transparency is only necessary when there is a high risk of violating fundamental rights. As easily observed, the Brazilian Legal Framework for Artificial Intelligence lacks binding and obligatory clauses and is rather filled with relaxed guidelines. In fact, experts emphasize that this bill may even make accountability for AI discriminatory biases even harder to achieve. Compared to the EU's proposal of extensive risk-based regulations, the Brazilian Bill has 10 articles proposing vague and generic recommendations.
Compared to the multistakeholder participation approach taken previously in the 2000s when drafting the Brazilian Internet Bill of Rights, Marco Civil da Internet, the Brazilian Bill is assessed to significantly lack perspective. Multistakeholderism, more commonly referred to as Multistakeholder Governance, is defined as the practice of bringing multiple stakeholders to participate in dialogue, decision-making, and implementation of responses to jointly perceived problems. In the context of regulatory AI, this multistakeholder perspective captures the trade-offs and varying perspectives of different stakeholders with specific interests, which helps maintain transparency and broader efficacy. On the contrary, the legislative proposal for AI regulation did not follow a similar multistakeholder approach.
Future steps may include, expanding upon the multistakeholder perspective. There has been a growing concern about the inapplicability of the framework of the bill, which highlights that the one-shoe-fits-all solution may not be suitable for the regulation of AI and calls for subjective and adaptive provisions.
Canada
The Pan-Canadian Artificial Intelligence Strategy (2017) is supported by federal funding of Can $125 million with the objectives of increasing the number of outstanding AI researchers and skilled graduates in Canada, establishing nodes of scientific excellence at the three major AI centres, developing 'global thought leadership' on the economic, ethical, policy and legal implications of AI advances and supporting a national research community working on AI.[56] The Canada CIFAR AI Chairs Program is the cornerstone of the strategy. It benefits from funding of Can$86.5 million over five years to attract and retain world-renowned AI researchers.[56] The federal government appointed an Advisory Council on AI in May 2019 with a focus on examining how to build on Canada's strengths to ensure that AI advancements reflect Canadian values, such as human rights, transparency and openness. The Advisory Council on AI has established a working group on extracting commercial value from Canadian-owned AI and data analytics.[56] In 2020, the federal government and Government of Quebec announced the opening of the International Centre of Expertise in Montréal for the Advancement of Artificial Intelligence, which will advance the cause of responsible development of AI.[56] In June 2022, the government of Canada started a second phase of the Pan-Canadian Artificial Intelligence Strategy.[75] In November 2022, Canada has introduced the Digital Charter Implementation Act (Bill C-27), which proposes three acts that have been described as a holistic package of legislation for trust and privacy: the Consumer Privacy Protection Act, the Personal Information and Data Protection Tribunal Act, and the Artificial Intelligence & Data Act (AIDA).[76][77]
Morocco
In Morocco, a new legislative proposal has been put forward by a coalition of political parties in Parliament to establish the National Agency for Artificial Intelligence (AI). This agency is intended to regulate AI technologies, enhance collaboration with international entities in the field, and increase public awareness of both the possibilities and risks associated with AI.[78]
The regulation of AI in China is mainly governed by the State Council of the People's Republic of China's July 8, 2017 "A Next Generation Artificial Intelligence Development Plan" (State Council Document No. 35), in which the Central Committee of the Chinese Communist Party and the State Council of the PRC urged the governing bodies of China to promote the development of AI up to 2030. Regulation of the issues of ethical and legal support for the development of AI is accelerating, and policy ensures state control of Chinese companies and over valuable data, including storage of data on Chinese users within the country and the mandatory use of People's Republic of China's national standards for AI, including over big data, cloud computing, and industrial software.[79][80][81] In 2021, China published ethical guidelines for the use of AI in China which state that researchers must ensure that AI abides by shared human values, is always under human control, and is not endangering public safety.[82] In 2023, China introduced Interim Measures for the Management of Generative AI Services.[83]
Council of Europe
The Council of Europe (CoE) is an international organization that promotes human rights, democracy and the rule of law. It comprises 46 member states, including all 29 Signatories of the European Union's 2018 Declaration of Cooperation on Artificial Intelligence. The CoE has created a common legal space in which the members have a legal obligation to guarantee rights as set out in the European Convention on Human Rights. Specifically in relation to AI, "The Council of Europe's aim is to identify intersecting areas between AI and our standards on human rights, democracy and rule of law, and to develop relevant standard setting or capacity-building solutions". The large number of relevant documents identified by the CoE include guidelines, charters, papers, reports and strategies.[84] The authoring bodies of these AI regulation documents are not confined to one sector of society and include organizations, companies, bodies and nation-states.[63]
In 2019, the Council of Europe initiated a process to assess the need for legally binding regulation of AI, focusing specifically on its implications for human rights and democratic values. Negotiations on a treaty began in September 2022, involving the 46 member states of the Council of Europe, as well as Argentina, Australia, Canada, Costa Rica, the Holy See, Israel, Japan, Mexico, Peru, the United States of America, and Uruguay, as well as the European Union. On 17 May 2024, the "Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law" was adopted. It was opened for signature on 5 September 2024. Although developed by a European organisation, the treaty is open for accession by states from other parts of the world. The first ten signatories were: Andorra, Georgia, Iceland, Norway, Moldova, San Marino, the United Kingdom, Israel, the United States, and the European Union.[85][86]
Most European Union (EU) countries have their own national strategies towards regulating AI, but these are largely convergent.[63] The European Union is guided by a European Strategy on Artificial Intelligence,[92] supported by a High-Level Expert Group on Artificial Intelligence.[93][94] In April 2019, the European Commission published its Ethics Guidelines for Trustworthy Artificial Intelligence (AI),[95] following this with its Policy and investment recommendations for trustworthy Artificial Intelligence in June 2019.[96] The EU Commission's High Level Expert Group on Artificial Intelligence carries out work on Trustworthy AI, and the Commission has issued reports on the Safety and Liability Aspects of AI and on the Ethics of Automated Vehicles. In 2020. the EU Commission sought views on a proposal for AI specific legislation, and that process is ongoing.[63]
On February 2, 2020, the European Commission published its White Paper on Artificial Intelligence – A European approach to excellence and trust.[97][98] The White Paper consists of two main building blocks, an 'ecosystem of excellence' and a 'ecosystem of trust'. The 'ecosystem of trust' outlines the EU's approach for a regulatory framework for AI. In its proposed approach, the Commission distinguishes AI applications based on whether they are 'high-risk' or not. Only high-risk AI applications should be in the scope of a future EU regulatory framework. An AI application is considered high-risk if it operates in a risky sector (such as healthcare, transport or energy) and is "used in such a manner that significant risks are likely to arise". For high-risk AI applications, the requirements are mainly about the: "training data", "data and record-keeping", "information to be provided", "robustness and accuracy", and "human oversight". There are also requirements specific to certain usages such as remote biometric identification. AI applications that do not qualify as 'high-risk' could be governed by a voluntary labeling scheme. As regards compliance and enforcement, the Commission considers prior conformity assessments which could include 'procedures for testing, inspection or certification' and/or 'checks of the algorithms and of the data sets used in the development phase'. A European governance structure on AI in the form of a framework for cooperation of national competent authorities could facilitate the implementation of the regulatory framework.[99]
A January 2021 draft was leaked online on April 14, 2021,[100] before the Commission presented their official "Proposal for a Regulation laying down harmonised rules on artificial intelligence" a week later.[101] Shortly after, the Artificial Intelligence Act (also known as the AI Act) was formally proposed on this basis.[102] This proposal includes a refinement of the 2020 risk-based approach with, this time, 4 risk categories: "minimal", "limited", "high" and "unacceptable".[103] The proposal has been severely critiqued in the public debate. Academics have expressed concerns about various unclear elements in the proposal – such as the broad definition of what constitutes AI – and feared unintended legal implications, especially for vulnerable groups such as patients and migrants.[104][105] The risk category "general-purpose AI" was added to the AI Act to account for versatile models like ChatGPT, which did not fit the application-based regulation framework.[106] Unlike for other risk categories, general-purpose AI models can be regulated based on their capabilities, not just their uses. Weaker general-purpose AI models are subject transparency requirements, while those considered to pose "systemic risks" (notably those trained using computational capabilities exceeding 1025FLOPS) must also undergo a thorough evaluation process.[107] A subsequent version of the AI Act was finally adopted in May 2024.[108] The AI Act will be progressively enforced.[109]Recognition of emotions and real-time remote biometric identification will be prohibited, with some exemptions, such as for law enforcement.[110]
The European Union's forthcoming AI Act has created a regulatory framework with significant implications globally. This legislation introduces a risk-based approach to categorizing AI systems, focusing on high-risk applications like healthcare, education, and public safety.[111] It requires organizations to ensure transparency, data governance, and human oversight in their AI solutions. While this aims to foster ethical AI use, the stringent requirements could increase compliance costs and delay technology deployment, impacting innovation-driven industries.[citation needed]
Observers have expressed concerns about the multiplication of legislative proposals under the von der Leyen Commission. The speed of the legislative initiatives is partially led by political ambitions of the EU and could put at risk the digital rights of the European citizens, including rights to privacy,[112] especially in the face of uncertain guarantees of data protection through cyber security.[94] Among the stated guiding principles in the variety of legislative proposals in the area of AI under the von der Leyen Commission are the objectives of strategic autonomy[113] and the concept of digital sovereignty.[114] On May 29, 2024, the European Court of Auditors published a report stating that EU measures were not well coordinated with those of EU countries; that the monitoring of investments was not systematic; and that stronger governance was needed.[115]
Germany
In November 2020,[116]DIN, DKE and the German Federal Ministry for Economic Affairs and Energy published the first edition of the "German Standardization Roadmap for Artificial Intelligence" (NRM KI) and presented it to the public at the Digital Summit of the Federal Government of Germany.[117] NRM KI describes requirements to future regulations and standards in the context of AI. The implementation of the recommendations for action is intended to help to strengthen the German economy and science in the international competition in the field of artificial intelligence and create innovation-friendly conditions for this emerging technology. The first edition is a 200-page long document written by 300 experts. The second edition of the NRM KI was published to coincide with the German government's Digital Summit on December 9, 2022.[118] DIN coordinated more than 570 participating experts from a wide range of fields from science, industry, civil society and the public sector. The second edition is a 450-page long document.
On the one hand, NRM KI covers the focus topics in terms of applications (e.g. medicine, mobility, energy & environment, financial services, industrial automation) and fundamental issues (e.g. AI classification, security, certifiability, socio-technical systems, ethics).[118] On the other hand, it provides an overview of the central terms in the field of AI and its environment across a wide range of interest groups and information sources. In total, the document covers 116 standardisation needs and provides six central recommendations for action.[119]
G7
On 30 October 2023, members of the G7 subscribe to eleven guiding principles for the design, production and implementation of advanced artificial intelligence systems, as well as a voluntary Code of Conduct for artificial intelligence developers in the context of the Hiroshima Process.[120]
The agreement receives the applause of Ursula von der Leyen who finds in it the principles of the AI Directive, currently being finalized.
Israel
On October 30, 2022, pursuant to government resolution 212 of August 2021, the Israeli Ministry of Innovation, Science and Technology released its "Principles of Policy, Regulation and Ethics in AI" white paper for public consultation.[121] By December 2023, the Ministry of Innovation and the Ministry of Justice published a joint AI regulation and ethics policy paper, outlining several AI ethical principles and a set of recommendations including opting for sector-based regulation, a risk-based approach, preference for "soft" regulatory tools and maintaining consistency with existing global regulatory approaches to AI.[122]
Italy
In October 2023, the Italian privacy authority approved a regulation that provides three principles for therapeutic decisions taken by automated systems: transparency of decision-making processes, human supervision of automated decisions and algorithmic non-discrimination.[123]
In 2020, the New Zealand Government sponsored a World Economic Forum pilot project titled "Reimagining Regulation for the Age of AI", aimed at creating regulatory frameworks around AI.[125] The same year, the Privacy Act was updated to regulate the use of New Zealanders' personal information in AI.[126] In 2023, the Privacy Commissioner released guidance on using AI in accordance with information privacy principles.[127] In February 2024, the Attorney-General and Technology Minister announced the formation of a Parliamentary cross-party AI caucus, and that framework for the Government's use of AI was being developed. She also announced that no extra regulation was planned at that stage.[128]
Philippines
In 2023, a bill was filed in the Philippine House of Representatives which proposed the establishment of the Artificial Intelligence Development Authority (AIDA) which would oversee the development and research of artificial intelligence. AIDA was also proposed to be a watchdog against crimes using AI.[129]
The Commission on Elections has also considered in 2024 the ban of using AI and deepfake for campaigning. They look to implement regulations that would apply as early as for the 2025 general elections.[130]
With the formation of the second government of Pedro Sánchez in January 2020, the areas related to new technologies that, since 2018, were in the Ministry of Economy, were strengthened. Thus, in 2020 the Secretariat of State for Digitalization and Artificial Intelligence (SEDIA) was created.[132] From this higher body, following the recommendations made by the R&D Strategy on Artificial Intelligence of 2018,[133] the National Artificial Intelligence Strategy (2020) was developed, which already provided for actions concerning the governance of artificial intelligence and the ethical standards that should govern its use. This project was also included within the Recovery, Transformation and Resilience Plan (2021).
During 2021,[132] the Government revealed that these ideas would be developed through a new government agency, and the General State Budget for 2022 authorized its creation and allocated five million euros for its development.[134]
The Council of Ministers, at its meeting on 13 September 2022, began the process for the election of the AESIA headquarters.[135][136] 16 Spanish provinces presented candidatures, with the Government opting for La Coruña, which proposed the La Terraza building.[137]
On 22 August 2023, the Government approved the internal regulations of the Agency.[138] With this, Spain became the first European country with an agency dedicated to the supervision of AI, anticipating the entry into force of the future European Regulation on Artificial Intelligence,[139] which establishes the need for Member States to have with a supervisory authority in this matter.
United Kingdom
The UK supported the application and development of AI in business via the Digital Economy Strategy 2015–2018[140] introduced at the beginning of 2015 by Innovate UK as part of the UK Digital Strategy.[140] In the public sector, the Department for Digital, Culture, Media and Sport advised on data ethics and the Alan Turing Institute provided guidance on responsible design and implementation of AI systems.[141][142] In terms of cyber security, in 2020 the National Cyber Security Centre has issued guidance on 'Intelligent Security Tools'.[46][143] The following year, the UK published its 10-year National AI Strategy,[144] which describes actions to assess long-term AI risks, including AGI-related catastrophic risks.[145]
In March 2023, the UK released the white paperA pro-innovation approach to AI regulation.[146] This white paper presents general AI principles, but leaves significant flexibility to existing regulators in how they adapt these principles to specific areas such as transport or financial markets.[147] In November 2023, the UK hosted the first AI safety summit, with the prime minister Rishi Sunak aiming to position the UK as a leader in AI safety regulation.[148][149] During the summit, the UK created an AI Safety Institute, as an evolution of the Frontier AI Taskforce led by Ian Hogarth. The institute was notably assigned the responsibility of advancing the safety evaluations of the world's most advanced AI models, also called frontier AI models.[150]
The UK government indicated its reluctance to legislate early, arguing that it may reduce the sector's growth and that laws might be rendered obselete by further technological progress.[151]
United States
Discussions on regulation of AI in the United States have included topics such as the timeliness of regulating AI, the nature of the federal regulatory framework to govern and promote AI, including what agency should lead, the regulatory and governing powers of that agency, and how to update regulations in the face of rapidly changing technology, as well as the roles of state governments and courts.[152]
2016–2017
As early as 2016, the Obama administration had begun to focus on the risks and regulations for artificial intelligence. In a report titled Preparing For the Future of Artificial Intelligence,[153] the National Science and Technology Council set a precedent to allow researchers to continue to develop new AI technologies with few restrictions. It is stated within the report that "the approach to regulation of AI-enabled products to protect public safety should be informed by assessment of the aspects of risk....".[154] These risks would be the principal reason to create any form of regulation, granted that any existing regulation would not apply to AI technology.
2018–2019
The first main report was the National Strategic Research and Development Plan for Artificial Intelligence.[155] On August 13, 2018, Section 1051 of the Fiscal Year 2019 John S. McCain National Defense Authorization Act (P.L. 115-232) established the National Security Commission on Artificial Intelligence "to consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States."[156] Steering on regulating security-related AI is provided by the National Security Commission on Artificial Intelligence.[157] The Artificial Intelligence Initiative Act (S.1558) is a proposed bill that would establish a federal initiative designed to accelerate research and development on AI for, inter alia, the economic and national security of the United States.[158][159]
On January 7, 2019, following an Executive Order on Maintaining American Leadership in Artificial Intelligence,[160] the White House's Office of Science and Technology Policy released a draft Guidance for Regulation of Artificial Intelligence Applications,[161] which includes ten principles for United States agencies when deciding whether and how to regulate AI.[162] In response, the National Institute of Standards and Technology has released a position paper,[163] and the Defense Innovation Board has issued recommendations on the ethical use of AI.[45] A year later, the administration called for comments on regulation in another draft of its Guidance for Regulation of Artificial Intelligence Applications.[164]
Other specific agencies working on the regulation of AI include the Food and Drug Administration,[39] which has created pathways to regulate the incorporation of AI in medical imaging.[38] National Science and Technology Council also published the National Artificial Intelligence Research and Development Strategic Plan,[165] which received public scrutiny and recommendations to further improve it towards enabling Trustworthy AI.[166]
2021–2022
In March 2021, the National Security Commission on Artificial Intelligence released their final report.[167] In the report, they stated that "Advances in AI, including the mastery of more general AI capabilities along one or more dimensions, will likely provide new capabilities and applications. Some of these advances could lead to inflection points or leaps in capabilities. Such advances may also introduce new concerns and risks and the need for new policies, recommendations, and technical advances to assure that systems are aligned with goals and values, including safety, robustness and trustworthiness. The US should monitor advances in AI and make necessary investments in technology and give attention to policy so as to ensure that AI systems and their uses align with our goals and values."
In June 2022, Senators Rob Portman and Gary Peters introduced the Global Catastrophic Risk Mitigation Act. The bipartisan bill "would also help counter the risk of artificial intelligence... from being abused in ways that may pose a catastrophic risk".[168][169] On October 4, 2022, President Joe Biden unveiled a new AI Bill of Rights,[170] which outlines five protections Americans should have in the AI age: 1. Safe and Effective Systems, 2. Algorithmic Discrimination Protection, 3.Data Privacy, 4. Notice and Explanation, and 5. Human Alternatives, Consideration, and Fallback. The Bill was introduced in October 2021 by the Office of Science and Technology Policy (OSTP), a US government department that advises the president on science and technology.[171]
2023
In January 2023, the New York City Bias Audit Law (Local Law 144[172]) was enacted by the NYC Council in November 2021. Originally due to come into effect on 1 January 2023, the enforcement date for Local Law 144 has been pushed back due to the high volume of comments received during the public hearing on the Department of Consumer and Worker Protection's (DCWP) proposed rules to clarify the requirements of the legislation. It eventually became effective on July 5, 2023.[173] From this date, the companies that are operating and hiring in New York City are prohibited from using automated tools to hire candidates or promote employees, unless the tools have been independently audited for bias.
President Biden meeting on Artificial Intelligence (AI) with Senators in the Oval Office in 2023.
In July 2023, the Biden–Harris Administration secured voluntary commitments from seven companies – Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI – to manage the risks associated with AI. The companies committed to ensure AI products undergo both internal and external security testing before public release; to share information on the management of AI risks with the industry, governments, civil society, and academia; to prioritize cybersecurity and protect proprietary AI system components; to develop mechanisms to inform users when content is AI-generated, such as watermarking; to publicly report on their AI systems' capabilities, limitations, and areas of use; to prioritize research on societal risks posed by AI, including bias, discrimination, and privacy concerns; and to develop AI systems to address societal challenges, ranging from cancer prevention to climate change mitigation. In September 2023, eight additional companies – Adobe, Cohere, IBM, Nvidia, Palantir, Salesforce, Scale AI, and Stability AI – subscribed to these voluntary commitments.[174][175]
The Biden administration, in October 2023 signaled that they would release an executive order leveraging the federal government's purchasing power to shape AI regulations, hinting at a proactive governmental stance in regulating AI technologies.[176] On October 30, 2023, President Biden released this Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence. The Executive Order addresses a variety of issues, such as focusing on standards for critical infrastructure, AI-enhanced cybersecurity, and federally funded biological synthesis projects.[177]
The Executive Order provides the authority to various agencies and departments of the US government, including the Energy and Defense departments, to apply existing consumer protection laws to AI development.[178]
The Executive Order builds on the Administration's earlier agreements with AI companies to instate new initiatives to "red-team" or stress-test AI dual-use foundation models, especially those that have the potential to pose security risks, with data and results shared with the federal government.
The Executive Order also recognizes AI's social challenges, and calls for companies building AI dual-use foundation models to be wary of these societal problems. For example, the Executive Order states that AI should not "worsen job quality", and should not "cause labor-force disruptions". Additionally, Biden's Executive Order mandates that AI must "advance equity and civil rights", and cannot disadvantage marginalized groups.[179] It also called for foundation models to include "watermarks" to help the public discern between human and AI-generated content, which has raised controversy and criticism from deepfake detection researchers.[180]
2024
In February 2024, Senator Scott Wiener introduced the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act to the California legislature. The bill drew heavily on the Biden executive order.[181] It had the goal of reducing catastrophic risks by mandating safety tests for the most powerful AI models. If passed, the bill would have also established a publicly-funded cloud computing cluster in California.[182] On September 29, Governor Gavin Newsom vetoed the bill. It is considered unlikely that the legislature will override the governor's veto with a two-thirds vote from both houses.[183]
On March 21, 2024, the State of Tennessee enacted legislation called the ELVIS Act, aimed specifically at audio deepfakes, and voice cloning.[184] This legislation was the first enacted legislation in the nation aimed at regulating AI simulation of image, voice and likeness.[185] The bill passed unanimously in the Tennessee House of Representatives and Senate.[186] This legislation's success was hoped by its supporters to inspire similar actions in other states, contributing to a unified approach to copyright and privacy in the digital age, and to reinforce the importance of safeguarding artists' rights against unauthorized use of their voices and likenesses.[187][188]
On March 13, 2024, Utah Governor Spencer Cox signed the S.B 149 "Artificial Intelligence Policy Act". This legislation goes into effect on May 1, 2024. It establishes liability, notably for companies that don't disclose their use of generative AI when required by state consumer protection laws, or when users commit criminal offense using generative AI. It also creates the Office of Artificial Intelligence Policy and the Artificial Intelligence Learning Laboratory Program.[189][190]
Legal questions related to lethal autonomous weapons systems (LAWS), in particular compliance with the laws of armed conflict, have been under discussion at the United Nations since 2013, within the context of the Convention on Certain Conventional Weapons.[191] Notably, informal meetings of experts took place in 2014, 2015 and 2016 and a Group of Governmental Experts (GGE) was appointed to further deliberate on the issue in 2016. A set of guiding principles on LAWS affirmed by the GGE on LAWS were adopted in 2018.[192]
In 2016, China published a position paper questioning the adequacy of existing international law to address the eventuality of fully autonomous weapons, becoming the first permanent member of the U.N. Security Council to broach the issue,[47] and leading to proposals for global regulation.[193] The possibility of a moratorium or preemptive ban of the development and use of LAWS has also been raised on several occasions by other national delegations to the Convention on Certain Conventional Weapons and is strongly advocated for by the Campaign to Stop Killer Robots – a coalition of non-governmental organizations.[194] The US government maintains that current international humanitarian law is capable of regulating the development or use of LAWS.[195] The Congressional Research Service indicated in 2023 that the US doesn't have LAWS in its inventory, but that its policy doesn't prohibit the development and employment of it.[196]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.
A medical device is any device intended to be used for medical purposes. Significant potential for hazards are inherent when using a device for medical purposes and thus medical devices must be proved safe and effective with reasonable assurance before regulating governments allow marketing of the device in their country. As a general rule, as the associated risk of the device increases the amount of testing required to establish safety and efficacy also increases. Further, as associated risk increases the potential benefit to the patient must also increase.
The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation. It also covers various emerging or potential future challenges such as machine ethics, lethal autonomous weapon systems, arms race dynamics, AI safety and alignment, technological unemployment, AI-enabled misinformation, how to treat certain AI systems if they have a moral status, artificial superintelligence and existential risks.
The regulation of chemicals is the legislative intent of a variety of national laws or international initiatives such as agreements, strategies or conventions. These international initiatives define the policy of further regulations to be implemented locally as well as exposure or emission limits. Often, regulatory agencies oversee the enforcement of these laws.
The General Data Protection Regulation, abbreviated GDPR, or RGPD is a European Union regulation on information privacy in the European Union (EU) and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also governs the transfer of personal data outside the EU and EEA. The GDPR's goals are to enhance individuals' control and rights over their personal information and to simplify the regulations for international business. It supersedes the Data Protection Directive 95/46/EC and, among other things, simplifies the terminology.
The Future of Life Institute (FLI) is a nonprofit organization which aims to steer transformative technology towards benefiting life and away from large-scale risks, with a focus on existential risk from advanced artificial intelligence (AI). FLI's work includes grantmaking, educational outreach, and advocacy within the United Nations, United States government, and European Union institutions.
Existential risk from artificial intelligence refers to the idea that substantial progress in artificial general intelligence (AGI) could lead to human extinction or an irreversible global catastrophe.
A military artificial intelligence arms race is an arms race between two or more states to develop and deploy lethal autonomous weapons systems (LAWS). Since the mid-2010s, many analysts have noted the emergence of such an arms race between superpowers for better military AI, driven by increasing geopolitical and military tensions.
The artificial intelligenceindustry in China is a rapidly developing multi-billion dollar industry. The roots of China's AI development started in the late 1970s following Deng Xiaoping's economic reforms emphasizing science and technology as the country's primary productive force.
The AI market in India is projected to reach $8 billion by 2025, growing at a compound annual growth rate (CAGR) of over 40% from 2020 to 2025. This growth is part of the broader AI boom, a global period of rapid technological advancements starting in the late 2010s and gaining prominence in the early 2020s. Globally, breakthroughs in protein folding by Google DeepMind and the rise of generative AI models from OpenAI have defined this era. In India, the development of AI has been similarly transformative, with applications in healthcare, finance, and education, bolstered by government initiatives like NITI Aayog's 2018 National Strategy for Artificial Intelligence.
The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.
Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. For the subset of AI algorithms, the term regulation of artificial intelligence is used. The regulatory and policy landscape for artificial intelligence (AI) is an emerging issue in jurisdictions globally, including in the European Union. Regulation of AI is considered necessary to both encourage AI and manage associated risks, but challenging. Another emerging topic is the regulation of blockchain algorithms and is mentioned along with regulation of AI algorithms. Many countries have enacted regulations of high frequency trades, which is shifting due to technological progress into the realm of AI algorithms.
Digital self-determination is a multidisciplinary concept derived from the legal concept of self-determination and applied to the digital sphere, to address the unique challenges to individual and collective agency and autonomy arising with increasing digitalization of many aspects of society and daily life.
The Artificial Intelligence Cold War (AI Cold War) is a narrative in which geopolitical tensions between the United States of America (USA), the Russian Federation, and the People's Republic of China (PRC) lead to a Second Cold War waged in the area of artificial intelligence technology rather than in the areas of nuclear capabilities or ideology. The context of the AI Cold War narrative is the AI arms race, which involves a build-up of military capabilities using AI technology by the US and China and the usage of increasingly advanced semiconductors which power those capabilities.
The Artificial Intelligence Act is a European Union regulation concerning artificial intelligence (AI). It establishes a common regulatory and legal framework for AI within the European Union (EU). It came into force on 1 August 2024, with provisions that shall come into operation gradually over the following 6 to 36 months.
The general notion of cryptocurrencies in Europe denotes the processes of legislative regulation, distribution, circulation, and storage of cryptocurrencies in Europe. In April 2023, the EU Parliament passed the Markets in Crypto Act (MiCA) unified legal framework for crypto-assets within the European Union.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability. The field is particularly concerned with existential risks posed by advanced AI models.
The Spanish Agency for the Supervision of Artificial Intelligence is an autonomous agency of the Spanish Department of Digital Transformation responsible for the oversight, counseling, awareness and training regarding the proper use and development of artificial intelligence systems, more specifically, algorithms. In addition, the Agency has also responsibilities of inspection, verification and sanction.
Discussions on regulation of artificial intelligence in the United States have included topics such as the timeliness of regulating AI, the nature of the federal regulatory framework to govern and promote AI, including what agency should lead, the regulatory and governing powers of that agency, and how to update regulations in the face of rapidly changing technology, as well as the roles of state governments and courts.
Elle Farrell-Kingsley is a British futurist, journalist, and interdisciplinary researcher specializing in artificial intelligence (AI) ethics, emerging technologies, and policy advocacy.
↑ Kaplan, Andreas; Haenlein, Michael (2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence". Business Horizons. 62: 15–25. doi:10.1016/j.bushor.2018.08.004. S2CID158433736.
↑ "Fox News Poll"(PDF). Fox News. 2023. Archived(PDF) from the original on 12 May 2023. Retrieved 19 June 2023.
↑ Barfield, Woodrow; Pagallo, Ugo (2018). Research handbook on the law of artificial intelligence. Cheltenham, UK: Edward Elgar Publishing. ISBN978-1-78643-904-8. OCLC1039480085.
↑ Kamyshansky, Vladimir P.; Rudenko, Evgenia Y.; Kolomiets, Evgeniy A.; Kripakova, Dina R. (2020), "Revisiting the Place of Artificial Intelligence in Society and the State", Artificial Intelligence: Anthropogenic Nature vs. Social Origin, Advances in Intelligent Systems and Computing, vol.1100, Cham: Springer International Publishing, pp.359–364, doi:10.1007/978-3-030-39319-9_41, ISBN978-3-030-39318-2, S2CID213070224
1 2 3 Johnson, Walter G.; Bowman, Diana M. (December 2021). "A Survey of Instruments and Institutions Available for the Global Governance of Artificial Intelligence". IEEE Technology and Society Magazine. 40 (4): 68–76. doi:10.1109/MTS.2021.3123745. S2CID245053179.
↑ Sutcliffe, Hillary R.; Brown, Samantha (December 2021). "Trust and Soft Law for AI". IEEE Technology and Society Magazine. 40 (4): 14–24. doi:10.1109/MTS.2021.3123741. S2CID244955938.
↑ Wirtz, Bernd W.; Weyerer, Jan C.; Sturm, Benjamin J. (2020-04-15). "The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration". International Journal of Public Administration. 43 (9): 818–829. doi:10.1080/01900692.2020.1749851. ISSN0190-0692. S2CID218807452.
↑ Iphofen, Ron; Kritikos, Mihalis (2019-01-03). "Regulating artificial intelligence and robotics: ethics by design in a digital society". Contemporary Social Science. 16 (2): 170–184. doi:10.1080/21582041.2018.1563803. ISSN2158-2041. S2CID59298502.
1 2 Barrett, Anthony M.; Baum, Seth D. (2016-05-23). "A model of pathways to artificial superintelligence catastrophe for risk and decision analysis". Journal of Experimental & Theoretical Artificial Intelligence. 29 (2): 397–414. arXiv:1607.07730. doi:10.1080/0952813x.2016.1186228. ISSN0952-813X. S2CID928824.
1 2 3 4 NíFhaoláin, Labhaoise; Hines, Andrew; Nallur, Vivek (2020). Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe(PDF). Dublin: Technological University Dublin, School of Computer Science, Dublin. pp.1–12. Archived(PDF) from the original on 2021-01-15. Retrieved 2021-03-27.This article incorporates text available under the CC BY 4.0 license. (The CC BY 4.0 licence means that everyone have the right to reuse the text that is quoted here, or other parts of the original article itself, if they credit the authors. More info: Creative Commons license) Changes were made as follows: citations removed and minor grammatical amendments.
↑ Law Library of Congress (U.S.). Global Legal Research Directorate, issuing body. Regulation of artificial intelligence in selected jurisdictions. LCCN2019668143. OCLC1110727808.
↑ Scherer, Matthew U. (2015). "Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies". SSRN Working Paper Series. doi:10.2139/ssrn.2609777. ISSN1556-5068.
↑ NSCAI Final Report(PDF). Washington, DC: The National Security Commission on Artificial Intelligence. 2021. Archived(PDF) from the original on 2023-02-15. Retrieved 2021-05-27.
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