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In futurology, political science, and science fiction, a post-work society is a society in which the nature of work has been radically transformed and traditional employment has become obsolete due to technological progress. [1]
Some post-work theorists imagine the complete automation of all jobs, or at least the takeover of all monotonous, rule-based, predictable and repetitive (and thus unworthy of humans) tasks in the future by ultimately cheaper, faster, more efficient, more reliable and more accurate intelligent machines. [2] [3] Additionally, these machines can work in harsher conditions and for longer periods of time without stopping than humans, [4] which is expected to lead to a transition period of rapid economic growth, despite high rates of ever-increasing human unemployment. [5] Overall, this development is expected to lead to an enormous increase in prosperity, provided that the wealth is redistributed. [6] [7]
Future directions include the reshaping of the human role in the workplace, stressing the relative strengths of humans capable of adapting and integrating technology into their work and interaction. [8] In addition to these capabilities, scholars emphasize the importance of humans taking advantage of these relative strengths, offering several areas which humans can remain competent in a rapidly developing workplace. These include emotional intelligence, service orientation, resource management skills, communication skills, and entrepreneurship skills. [9]
Scholarly literature defines such areas where machines may surpass humans as "task encroachment". [10] "Task encroachment" presents an issue of growing encroachment of AI and automation into human work, especially in manual and cognitive tasks. It is estimated that approximately 40% of all working hours will be affected by AI models. [11] It has been proposed for humanity to pivot towards roles that require emotional intelligence and interpersonal skills, assumed to be more uniquely humans. However, studies show that in some contexts, modern chatbots generate answers that are rated as more empathetic and qualitative than human ones. [12] [13]
Some theories of a post-work society focus on challenging the priority of the work ethic, and on the celebration of nonwork activities. [14] These theories also underscore the importance of developing community-based activities and self-improvement programs to fill the void left by traditional labor structures.
Near-term practical proposals closely associated with post-work theory include the implementation of a universal basic income, [15] [16] as well as the reduction of the length of a working day and the number of days of a working week. Increased focus on what post-work society would look like has been driven by reports such as one in 2018 that states 47% of jobs in the United States could be automated. [17] Because of increasing automation and the low price of maintaining an automated workforce compared to one dependent on human labor, it has been suggested that post-work societies would also be ones of post-scarcity. [18] [19]
According to Nick Bostrom, advanced artificial intelligence has the potential to not only automate jobs and create abundance, but also undermine the purpose of many leisure activities, such as shopping, gardening, or even parenting. [20]
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 chatbot is a software application or web interface designed to have textual or spoken conversations. Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner. Such chatbots often use deep learning and natural language processing, but simpler chatbots have existed for decades.
Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision.
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI, which is limited to specific tasks. Artificial superintelligence (ASI), on the other hand, refers to AGI that greatly exceeds human cognitive capabilities. AGI is considered one of the definitions of strong AI.
An AI takeover is an imagined scenario in which artificial intelligence (AI) emerges as the dominant form of intelligence on Earth and computer programs or robots effectively take control of the planet away from the human species, which relies on human intelligence. Possible scenarios include replacement of the entire human workforce due to automation, takeover by an artificial superintelligence (ASI), and the notion of a robot uprising. Stories of AI takeovers have been popular throughout science fiction, but recent advancements have made the threat more real. Some public figures, such as Stephen Hawking and Elon Musk, have advocated research into precautionary measures to ensure future superintelligent machines remain under human control.
Customer service is the assistance and advice provided by a company through phone, online chat, mail, and e-mail to those who buy or use its products or services. Each industry requires different levels of customer service, but towards the end, the idea of a well-performed service is that of increasing revenues. The perception of success of the customer service interactions is dependent on employees "who can adjust themselves to the personality of the customer". Customer service is often practiced in a way that reflects the strategies and values of a firm. Good quality customer service is usually measured through customer retention.
Business process automation (BPA), also known as business automation, refers to the technology-enabled automation of business processes.
Erik Brynjolfsson is an American academic, author and inventor. He is the Jerry Yang and Akiko Yamazaki Professor and a Senior Fellow at Stanford University where he directs the Digital Economy Lab at the Stanford Institute for Human-Centered AI, with appointments at SIEPR, the Stanford Department of Economics and the Stanford Graduate School of Business. He is also a research associate at the National Bureau of Economic Research and a best-selling author of several books. From 1990 to 2020, he was a professor at MIT.
The information technology (I.T.) industry in India comprises information technology services and business process outsourcing. The share of the IT-BPM sector in the GDP of India is 7.4% in FY 2022. The IT and BPM industries' revenue is estimated at US$ 245 billion in FY 2023. The domestic revenue of the IT industry is estimated at $51 billion, and export revenue is estimated at $194 billion in FY 2023. The IT–BPM sector overall employs 5.4 million people as of March 2023. In December 2022, Union Minister of State for Electronics and IT Rajeev Chandrasekhar, in a written reply to a question in Rajya Sabha informed that IT units registered with state-run Software Technology Parks of India (STPI) and Special Economic Zones have exported software worth Rs 11.59 lakh crore in 2021–22.
Artificial intelligence (AI) has been used in applications throughout industry and academia. In a manner analogous to electricity or computers, AI serves as a general-purpose technology. AI programes emulate perception and understanding, and are designed to adapt to new information and new situations. Machine learning has been used for various scientific and commercial purposes including language translation, image recognition, decision-making, credit scoring, and e-commerce.
Technological unemployment is the loss of jobs caused by technological change. It is a key type of structural unemployment. Technological change typically includes the introduction of labour-saving "mechanical-muscle" machines or more efficient "mechanical-mind" processes (automation), and humans' role in these processes are minimized. Just as horses were gradually made obsolete as transport by the automobile and as labourer by the tractor, humans' jobs have also been affected throughout modern history. Historical examples include artisan weavers reduced to poverty after the introduction of mechanized looms. Thousands of man-years of work was performed in a matter of hours by the bombe codebreaking machine during World War II. A contemporary example of technological unemployment is the displacement of retail cashiers by self-service tills and cashierless stores.
Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. RPA should not be confused with artificial intelligence as it is based on automotive technology following a predefined workflow. It is sometimes referred to as software robotics.
OpenAI is an American artificial intelligence (AI) research organization founded in December 2015 and headquartered in San Francisco, California. Its stated mission is to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". As a leading organization in the ongoing AI boom, OpenAI is known for the GPT family of large language models, the DALL-E series of text-to-image models, and a text-to-video model named Sora. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI.
Carl Benedikt Frey is a Swedish-German economist and economic historian. He is the Dieter Schwarz Associate Professor of AI & Work at the Oxford Internet Institute and a Fellow of Mansfield College, University of Oxford. He is also Director of the Future of Work Programme and Oxford Martin Citi Fellow at the Oxford Martin School.
Automated journalism, also known as algorithmic journalism or robot journalism, is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs. There are four main fields of application for automated journalism, namely automated content production, Data Mining, news dissemination and content optimization. Through artificial intelligence (AI) software, stories are produced automatically by computers rather than human reporters. These programs interpret, organize, and present data in human-readable ways. Typically, the process involves an algorithm that scans large amounts of provided data, selects from an assortment of pre-programmed article structures, orders key points, and inserts details such as names, places, amounts, rankings, statistics, and other figures. The output can also be customized to fit a certain voice, tone, or style.
Lawbots are a broad class of customer-facing legal AI applications that are used to automate specific legal tasks, such as document automation and legal research. The terms robot lawyer and lawyer bot are used as synonyms to lawbot. A robot lawyer or a robo-lawyer refers to a legal AI application that can perform tasks that are typically done by paralegals or young associates at law firms. However, there is some debate on the correctness of the term. Some commentators say that legal AI is technically speaking neither a lawyer nor a robot and should not be referred to as such. Other commentators believe that the term can be misleading and note that the robot lawyer of the future won't be one all-encompassing application but a collection of specialized bots for various tasks.
Polanyi's paradox, named in honour of the British-Hungarian philosopher Michael Polanyi, is the theory that human knowledge of how the world functions and of our own capability are, to a large extent, beyond our explicit understanding. The theory was articulated by Michael Polanyi in his book The Tacit Dimension in 1966, and economist David Autor gave it a name in his 2014 research paper "Polanyi's Paradox and the Shape of Employment Growth".
Work or labor is the intentional activity people perform to support the needs and desires of themselves, other people, or organizations. In the context of economics, work can be viewed as the human activity that contributes towards the goods and services within an economy.
The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled.
Artificial intelligence (AI) in hiring involves the use of technology to automate aspects of the hiring process. Advances in artificial intelligence, such as the advent of machine learning and the growth of big data, enable AI to be utilized to recruit, screen, and predict the success of applicants. Proponents of artificial intelligence in hiring claim it reduces bias, assists with finding qualified candidates, and frees up human resource workers' time for other tasks, while opponents worry that AI perpetuates inequalities in the workplace and will eliminate jobs. Despite the potential benefits, the ethical implications of AI in hiring remain a subject of debate, with concerns about algorithmic transparency, accountability, and the need for ongoing oversight to ensure fair and unbiased decision-making throughout the recruitment process.