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| AI and Society | |
|---|---|
| Name | AI and Society |
| Field | Artificial intelligence, Sociology |
| Notable | Alan Turing; John McCarthy; Marvin Minsky; Norbert Wiener; Herbert A. Simon; Claude Shannon; Ada Lovelace; Geoffrey Hinton; Yann LeCun; Yoshua Bengio; Demis Hassabis; Stuart Russell; Peter Norvig; Judea Pearl; Ray Kurzweil; Fei-Fei Li; Timnit Gebru; Joy Buolamwini; Kate Crawford; Nick Bostrom; Eliezer Yudkowsky; Andrew Ng; Sebastian Thrun; Daphne Koller; Ruslan Salakhutdinov; Yann LeCun; Rodney Brooks; Rodney Brooks; Barbara Grosz; Leslie Valiant; Jürgen Schmidhuber; Alex Krizhevsky; Ilya Sutskever; Dario Amodei; David Silver; Richard Sutton; Michael Jordan; Cynthia Dwork; Latanya Sweeney; Helen Nissenbaum; Luciano Floridi; Frank Pasquale; Virginia Eubanks; Cathy O'Neil; Shoshana Zuboff; Erik Brynjolfsson; Andrew McAfee; Robert Solow; Paul Romer; James Manyika; Klaus Schwab; Sundar Pichai; Satya Nadella; Mark Zuckerberg; Elon Musk; Sam Altman; Jeff Dean; Reid Hoffman; Vinod Khosla; Bill Gates; Steve Jobs; Larry Page; Sergey Brin; Peter Thiel; Eric Schmidt |
AI and Society AI's integration into Silicon Valley industries and global institutions has transformed Manhattan Project-era computational ambitions into pervasive systems affecting labor, law, culture, and security. Debates among scholars, policymakers, technologists, and activists from Harvard University to University of Oxford shape responses to developments driven by firms like OpenAI, DeepMind, Google, Microsoft, and IBM and by researchers such as Alan Turing, John McCarthy, Marvin Minsky, Norbert Wiener, and Geoffrey Hinton.
AI's societal role links research from Massachusetts Institute of Technology labs to deployments in corporations like Amazon (company), Apple Inc., Facebook, Meta Platforms, Inc., and NVIDIA Corporation. Intersections with institutions such as World Economic Forum, United Nations, European Commission, and World Health Organization shape standards discussed alongside contributions from scholars at Stanford University, Carnegie Mellon University, University of Cambridge, and Princeton University. Historic projects including DARPA challenges and prizes such as the Turing Award and NeurIPS conference have accelerated influence across sectors including finance firms like Goldman Sachs, media conglomerates like The New York Times Company, and defense contractors such as Lockheed Martin.
Foundational work by Ada Lovelace and Alan Turing informed early cybernetics from Norbert Wiener and symbolic AI by John McCarthy and Marvin Minsky, later complemented by statistical breakthroughs from Geoffrey Hinton, Yann LeCun, and Yoshua Bengio. Institutional milestones include labs at Bell Labs, initiatives at DARPA, and corporate efforts at IBM's Deep Blue and DeepMind's AlphaGo which built on reinforcement learning by Richard Sutton and Andrew Ng. Funding shifts involving Venture capital firms and figures like Peter Thiel and Reid Hoffman influenced the emergence of startups such as OpenAI, DeepMind, Anthropic, and Stability AI.
Automation narratives invoke research by Erik Brynjolfsson and Andrew McAfee and analyses from McKinsey & Company and OECD about productivity, employment, and inequality. Large enterprises including Amazon (company), Walmart, JPMorgan Chase, and Siemens deploy AI for logistics, risk management, and human resources, affecting labor markets studied by ILO and policymakers in jurisdictions like European Union and United States Congress. Financial innovations from BlackRock to fintechs like PayPal alter capital allocation, while platform economies led by Uber Technologies, Inc., Airbnb, Inc., and Alibaba Group reshape work and regulation.
Concerns over bias, surveillance, and accountability draw attention from advocates such as Timnit Gebru, Joy Buolamwini, Cathy O'Neil, Virginia Eubanks, and scholars like Luciano Floridi and Helen Nissenbaum. Cases involving facial recognition used by law enforcement agencies in cities like San Francisco and countries including China spark litigation and policy responses from bodies like European Court of Human Rights and regulators such as Federal Trade Commission and Information Commissioner's Office. Debates on fairness and transparency reference methods from Cynthia Dwork and systems tested at conferences like ICML and NeurIPS.
Regulatory initiatives include the General Data Protection Regulation, proposals in United States Congress, and frameworks from OECD, UNESCO, and regional actors like European Commission's AI Act. Stakeholders comprise multinational corporations such as Microsoft Corporation, Google LLC, and Amazon (company), national agencies like National Institute of Standards and Technology, industry consortia like Partnership on AI, and civil society organizations including Electronic Frontier Foundation and Amnesty International. Notable legal cases and legislative efforts reference precedents from United States Supreme Court jurisprudence and international agreements such as WTO deliberations.
AI influences media ecosystems from The New York Times Company to streaming platforms like Netflix, Inc. and social networks including Twitter and Instagram (app), shaping public discourse studied by researchers at Columbia University and London School of Economics. Psychological research at Yale University and University of California, Berkeley examines impacts on identity, attention, and mental health, while artists and writers from MoMA exhibitions to authors published by Penguin Random House explore themes popularized in films like Blade Runner and The Matrix.
Futures discourse engages thinkers such as Nick Bostrom, Eliezer Yudkowsky, Stuart Russell, Ray Kurzweil, and practitioners at OpenAI and DeepMind concerning capabilities, alignment, and governance. International competition among states including United States, China, European Union, Japan, and United Kingdom and actors like NATO complicates arms-control analogies exemplified by treaties like Non-Proliferation Treaty. Research agendas at MIT Media Lab, Oxford Internet Institute, and Future of Humanity Institute consider existential risks, robust verification methods, and institutional designs advocated by funders such as Wellcome Trust and Bill & Melinda Gates Foundation.