Suffering risks, or s-risks, are risks involving an astronomical amount of suffering; much more than all of the suffering that has occurred on Earth thus far. [2] [3] They are sometimes categorized as a subclass of existential risks. [4]
Sources of possible s-risks include embodied artificial intelligence [5] and superintelligence, [6] as well as space colonization, which could potentially lead to "constant and catastrophic wars" [7] and an immense increase in wild animal suffering by introducing wild animals, who "generally lead short, miserable lives full of sometimes the most brutal suffering", to other planets, either intentionally or inadvertently. [8]
Steven Umbrello, an AI ethics researcher, has warned that biological computing may make system design more prone to s-risks. [5]
Induced amnesia has been proposed as a way to mitigate s-risks in locked-in conscious AI and certain AI-adjacent biological systems like brain organoids. [9]
David Pearce has argued that genetic engineering is a potential s-risk. Pearce argues that while technological mastery over the pleasure-pain axis and solving the hard problem of consciousness could lead to the potential eradication of suffering, it could also potentially increase the level of contrast in the hedonic range that sentient beings could experience. He argues that these technologies might make it feasible to create "hyperpain" or "dolorium" that experience levels of suffering beyond the human range. He also argues that there are other potential S-risks that are more exotic, such as those posed by the many-worlds interpretation of quantum mechanics. [10]
The technological singularity—or simply the singularity—is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for Human civilization. According to the most popular version of the singularity hypothesis, I. J. Good's intelligence explosion model of 1965, an upgradable intelligent agent could eventually enter a positive feedback loop of self-improvement cycles, each successive; and more intelligent generation appearing more and more rapidly, causing a rapid increase ("explosion") in intelligence which would ultimately result in a powerful superintelligence, qualitatively far surpassing all human intelligence.
Friendly artificial intelligence is hypothetical artificial general intelligence (AGI) that would have a positive (benign) effect on humanity or at least align with human interests or contribute to fostering the improvement of the human species. It is a part of the ethics of artificial intelligence and is closely related to machine ethics. While machine ethics is concerned with how an artificially intelligent agent should behave, friendly artificial intelligence research is focused on how to practically bring about this behavior and ensuring it is adequately constrained.
Nick Bostrom is a philosopher known for his work on existential risk, the anthropic principle, human enhancement ethics, whole brain emulation, superintelligence risks, and the reversal test. He was the founding director of the now dissolved Future of Humanity Institute at the University of Oxford and is now Principal Researcher at the Macrostrategy Research Initiative.
A superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. "Superintelligence" may also refer to a property of problem-solving systems whether or not these high-level intellectual competencies are embodied in agents that act in the world. A superintelligence may or may not be created by an intelligence explosion and associated with a technological singularity.
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. Stories of AI takeovers remain popular throughout science fiction, but recent advancements have made the threat more real. Possible scenarios include replacement of the entire human workforce due to automation, takeover by a superintelligent AI (ASI), and the notion of a robot uprising. 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.
Human extinction is the hypothetical end of the human species, either by population decline due to extraneous natural causes, such as an asteroid impact or large-scale volcanism, or via anthropogenic destruction (self-extinction), for example by sub-replacement fertility.
The Future of Humanity Institute (FHI) was an interdisciplinary research centre at the University of Oxford investigating big-picture questions about humanity and its prospects. It was founded in 2005 as part of the Faculty of Philosophy and the Oxford Martin School. Its director was philosopher Nick Bostrom, and its research staff included futurist Anders Sandberg and Giving What We Can founder Toby Ord.
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.
A global catastrophic risk or a doomsday scenario is a hypothetical event that could damage human well-being on a global scale, even endangering or destroying modern civilization. An event that could cause human extinction or permanently and drastically curtail humanity's existence or potential is known as an "existential risk".
In futurology, a singleton is a hypothetical world order in which there is a single decision-making agency at the highest level, capable of exerting effective control over its domain, and permanently preventing both internal and external threats to its supremacy. The term was first defined by Nick Bostrom.
In the field of artificial intelligence (AI) design, AI capability control proposals, also referred to as AI confinement, aim to increase our ability to monitor and control the behavior of AI systems, including proposed artificial general intelligences (AGIs), in order to reduce the danger they might pose if misaligned. However, capability control becomes less effective as agents become more intelligent and their ability to exploit flaws in human control systems increases, potentially resulting in an existential risk from AGI. Therefore, the Oxford philosopher Nick Bostrom and others recommend capability control methods only as a supplement to alignment methods.
Machine ethics is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence, otherwise known as artificial intelligent agents. Machine ethics differs from other ethical fields related to engineering and technology. It should not be confused with computer ethics, which focuses on human use of computers. It should also be distinguished from the philosophy of technology, which concerns itself with technology's grander social effects.
Roman Vladimirovich Yampolskiy is a Latvian computer scientist at the University of Louisville, known for his work on behavioral biometrics, security of cyberworlds, and AI safety. He holds a PhD from the University at Buffalo (2008). He is currently the director of Cyber Security Laboratory in the department of Computer Engineering and Computer Science at the Speed School of Engineering.
Superintelligence: Paths, Dangers, Strategies is a 2014 book by the philosopher Nick Bostrom. It explores how superintelligence could be created and what its features and motivations might be. It argues that superintelligence, if created, would be difficult to control, and that it could take over the world in order to accomplish its goals. The book also presents strategies to help make superintelligences whose goals benefit humanity. It was particularly influential for raising concerns about existential risk from artificial intelligence.
Instrumental convergence is the hypothetical tendency for most sufficiently intelligent, goal directed beings to pursue similar sub-goals, even if their ultimate goals are quite different. More precisely, agents may pursue instrumental goals—goals which are made in pursuit of some particular end, but are not the end goals themselves—without ceasing, provided that their ultimate (intrinsic) goals may never be fully satisfied.
Existential risk from artificial general intelligence refers to the idea that substantial progress in artificial general intelligence (AGI) could lead to human extinction or an irreversible global catastrophe.
Seth Baum is an American researcher involved in the field of risk research. He is the executive director of the Global Catastrophic Risk Institute (GCRI), a think tank focused on existential risk. He is also affiliated with the Blue Marble Space Institute of Science and the Columbia University Center for Research on Environmental Decisions.
Human Compatible: Artificial Intelligence and the Problem of Control is a 2019 non-fiction book by computer scientist Stuart J. Russell. It asserts that the risk to humanity from advanced artificial intelligence (AI) is a serious concern despite the uncertainty surrounding future progress in AI. It also proposes an approach to the AI control problem.
Longtermism is the ethical view that positively influencing the long-term future is a key moral priority of our time. It is an important concept in effective altruism and a primary motivation for efforts that aim to reduce existential risks to humanity.
Existential risk studies (ERS) is a field of studies focused on the definition and theorization of "existential risks", its ethical implications and the related strategies of long-term survival. Existential risks are diversely defined as global kinds of calamity that have the potential of inducing the extinction of intelligent earthling life, such as humans, or, at least, a severe limitation of their capacity. The field development and expansion can be divided in waves according to its conceptual changes as well as its evolving relationship with related fields and theories, such as futures studies, disaster studies, AI safety, effective altruism and longtermism.