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Coherent Extrapolated Volition
Friendly artificial intelligence (friendly AI or FAI) is hypothetical artificial general intelligence (AGI) that would have a positive (benign) effect on humanity or at least align with human interests such as 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. Etymology and usage The term was coined by Eliezer Yudkowsky, who is best known for popularizing the idea, to discuss superintelligent artificial agents that reliably implement human values. Stuart J. Russell and Peter Norvig's leading artificial intelligence textbook, '' Artificial Intelligence: A Modern Approach'', describes the idea: Yudkowsky (2008) goes into more detail about how to desi ...
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Artificial General Intelligence
Artificial general intelligence (AGI)—sometimes called human‑level intelligence AI—is a type of artificial intelligence that would match or surpass human capabilities across virtually all cognitive tasks. Some researchers argue that state‑of‑the‑art large language models already exhibit early signs of AGI‑level capability, while others maintain that genuine AGI has not yet been achieved. AGI is conceptually distinct from artificial superintelligence (ASI), which would outperform the best human abilities across every domain by a wide margin. AGI is considered one of the definitions of Chinese room#Strong AI vs. AI research, strong AI. Unlike artificial narrow intelligence (ANI), whose competence is confined to well‑defined tasks, an AGI system can generalise knowledge, transfer skills between domains, and solve novel problems without task‑specific reprogramming. The concept does not, in principle, require the system to be an autonomous agent; a static model— ...
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Three Laws Of Robotics
The Three Laws of Robotics (often shortened to The Three Laws or Asimov's Laws) are a set of rules devised by science fiction author Isaac Asimov, which were to be followed by robots in several of his stories. The rules were introduced in his 1942 short story " Runaround" (included in the 1950 collection '' I, Robot''), although similar restrictions had been implied in earlier stories. The Laws The Three Laws, presented to be from the fictional "Handbook of Robotics, 56th Edition, 2058 A.D.", are: # A robot may not injure a human being or, through inaction, allow a human being to come to harm. # A robot must obey the orders by human beings except where such orders would conflict with the First Law. # A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. Use in fiction The Three Laws form an organizing principle and unifying theme for Asimov's robot-based fiction, appearing in his ''Robot'' series, the stories linked t ...
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Decision Theory
Decision theory or the theory of rational choice is a branch of probability theory, probability, economics, and analytic philosophy that uses expected utility and probabilities, probability to model how individuals would behave Rationality, rationally under uncertainty. It differs from the Cognitive science, cognitive and Behavioural sciences, behavioral sciences in that it is mainly Prescriptive economics, prescriptive and concerned with identifying optimal decision, optimal decisions for a rational agent, rather than Descriptive economics, describing how people actually make decisions. Despite this, the field is important to the study of real human behavior by Social science, social scientists, as it lays the foundations to Mathematical model, mathematically model and analyze individuals in fields such as sociology, economics, criminology, cognitive science, moral philosophy and political science. History The roots of decision theory lie in probability theory, developed by Blai ...
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Utility Function
In economics, utility is a measure of a certain person's satisfaction from a certain state of the world. Over time, the term has been used with at least two meanings. * In a Normative economics, normative context, utility refers to a goal or objective that we wish to maximize, i.e., an objective function. This kind of utility bears a closer resemblance to the original Utilitarianism, utilitarian concept, developed by moral philosophers such as Jeremy Bentham and John Stuart Mill. * In a Positive economics, descriptive context, the term refers to an ''apparent'' objective function; such a function is Revealed preference, revealed by a person's behavior, and specifically by their preferences over Lottery (decision theory), lotteries, which can be any quantified choice. The relationship between these two kinds of utility functions has been a source of controversy among both Economics, economists and Ethics, ethicists, with most maintaining that the two are distinct but generally re ...
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Evolutionary Psychology
Evolutionary psychology is a theoretical approach in psychology that examines cognition and behavior from a modern evolutionary perspective. It seeks to identify human psychological adaptations with regard to the ancestral problems they evolved to solve. In this framework, psychological traits and mechanisms are either functional products of natural selection, natural and sexual selection in human evolution, sexual selection or non-adaptive Spandrel (biology), by-products of other adaptive traits. Adaptationist thinking about Physiology, physiological mechanisms, such as the heart, Lung, lungs, and the liver, is common in evolutionary biology. Evolutionary psychologists apply the same thinking in psychology, arguing that just as the heart evolved to pump blood, the liver evolved to detoxify poisons, and the kidneys evolved to filter turbid fluids there is modularity of mind in that different psychological mechanisms evolved to solve different adaptive problems. These evolutionary ...
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Human Nature
Human nature comprises the fundamental dispositions and characteristics—including ways of Thought, thinking, feeling, and agency (philosophy), acting—that humans are said to have nature (philosophy), naturally. The term is often used to denote the essence of humankind, or what it 'Meaning (psychology), means' to be human. This usage has proven to be controversial in that there is dispute as to whether or not such an essence actually exists. Arguments about human nature have been a central focus of philosophy for centuries and the concept continues to provoke lively philosophical debate. While both concepts are distinct from one another, discussions regarding human nature are typically related to those regarding the comparative importance of genes and Social environment, environment in Developmental psychology, human development (i.e., 'nature versus nurture'). Accordingly, the concept also continues to play a role in academic fields, such as both the natural science, natural an ...
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Bruce Schneier
Bruce Schneier (; born January 15, 1963) is an American cryptographer, computer security professional, privacy specialist, and writer. Schneier is an Adjunct Lecturer in Public Policy at the Harvard Kennedy School and a Fellow at the Berkman Klein Center for Internet & Society as of November, 2013. He is a board member of the Electronic Frontier Foundation, Access Now, and The Tor Project; and an advisory board member of Electronic Privacy Information Center and VerifiedVoting.org. He is the author of several books on general security topics, computer security and cryptography and is a squid enthusiast. Early life and education Bruce Schneier is the son of Martin Schneier, a Brooklyn Supreme Court judge. He grew up in the Flatbush neighborhood of Brooklyn, New York, attending P.S. 139 and Hunter College High School. After receiving a physics bachelor's degree from the University of Rochester in 1984, he went to American University in Washington, D.C., and got his ...
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Machine Intelligence Research Institute
The Machine Intelligence Research Institute (MIRI), formerly the Singularity Institute for Artificial Intelligence (SIAI), is a non-profit research institute focused since 2005 on identifying and managing potential existential risks from artificial general intelligence. MIRI's work has focused on a friendly AI approach to system design and on predicting the rate of technology development. History In 2000, Eliezer Yudkowsky founded the Singularity Institute for Artificial Intelligence with funding from Brian and Sabine Atkins, with the purpose of accelerating the development of artificial intelligence (AI). However, Yudkowsky began to be concerned that AI systems developed in the future could become superintelligent and pose risks to humanity, and in 2005 the institute moved to Silicon Valley and began to focus on ways to identify and manage those risks, which were at the time largely ignored by scientists in the field. Starting in 2006, the Institute organized the Singular ...
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Alexander Wissner-Gross
Alexander D. Wissner-Gross is an American research scientist and entrepreneur. He is a fellow at the Institute for Applied Computational Science at Harvard University. Education At the Massachusetts Institute of Technology, where he researched nanotechnology, Wissner-Gross triple-majored in physics, electrical engineering and mathematics. He was awarded the Marshall Scholarship, and was the last student to triple-major at MIT before the option was discontinued. Wissner-Gross also has a Ph.D in physics from Harvard University. Entrepreneurship In 2007, Wissner-Gross founded the technology company CO2Stats, which measures the amount of carbon dioxide emitted by using a website. CO2Stats is based in Cambridge, Massachusetts, and received funding from the seed venture capital firm Y Combinator. The company attracted controversy when Wissner-Gross was reported to have claimed that a single Google search emitted seven grams of , which Google disputed. Wissner-Gross denied making the cla ...
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Self-preservation
Self-preservation is a behavior or set of behaviors that ensures the survival of an organism. It is thought to be universal among all living organisms. Self-preservation is essentially the process of an organism preventing itself from being harmed or killed and is considered a basic instinct in most organisms. Most call it a "survival instinct". Self-preservation is thought to be tied to an organism's reproductive fitness and can be more or less present according to perceived reproduction potential. If perceived reproductive potential is low enough, self-destructive behavior (i.e., the opposite) is not uncommon in social species. Self-preservation is also thought by some to be the basis of rational and logical thought and behavior. The opposite of self-preservation is self-destructive behavior. Overview An organism's fitness is measured by its ability to pass on its genes. The most straightforward way to accomplish this is to survive to a reproductive age, mate if necessary, ...
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Instrumental Convergence
Instrumental convergence is the hypothetical tendency for most sufficiently intelligent, goal-directed beings (human and nonhuman) to pursue similar sub-goals, even if their ultimate goals are quite different. More precisely, agents (beings with agency) 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. Instrumental convergence posits that an intelligent agent with seemingly harmless but unbounded goals can act in surprisingly harmful ways. For example, a computer with the sole, unconstrained goal of solving a complex mathematics problem like the Riemann hypothesis could attempt to turn the entire Earth into one giant computer to increase its computational power so that it can succeed in its calculations. Proposed basic AI drives include utility function or goal-content integrity, self-protection, freedom from ...
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Steve Omohundro
Stephen Malvern Omohundro (born 1959) is an American computer scientist whose areas of research include Hamiltonian physics, dynamical systems, programming languages, machine learning, machine vision, and the social implications of artificial intelligence. His current work uses rational economics to develop safe and beneficial intelligent technologies for better collaborative modeling, understanding, innovation, and decision making. Education Omohundro has degrees in physics and mathematics from Stanford University (Phi Beta Kappa) and a Ph.D. in physics from the University of California, Berkeley. Learning algorithms Omohundro started the "Vision and Learning Group" at the University of Illinois, which produced 4 Masters and 2 Ph.D. theses. His work in learning algorithms included a number of efficient geometric algorithms, the manifold learning task and various algorithms for accomplishing this task, other related visual learning and modelling tasks, the model merging approach ...
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