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Four shades of AI regulation
16 references·1 citing·43 second hop
Four shades of AI regulation (2022)Four shades of AI regulationThe lamp and the lighthouse: Joseph Weizenbaum, contextualizing the critic (2021)The lamp and the lighthouse: …Putting AI ethics to work: are the tools fit for purpose? (2021)Putting AI ethics to work: ar…Beyond the individual: governing AI’s societal harm (2021)Beyond the individual: govern…The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence (2019)The EU Approach to Ethics Gui…Fairness and Abstraction in Sociotechnical Systems (2019)Fairness and Abstraction in S…Neurons spike back (2018)Neurons spike backGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Constitutional democracy and technology in the age of artificial intelligence (2018)Constitutional democracy and …Rise of concerns about AI (2015)Rise of concerns about AIResearch Priorities for Robust and Beneficial Artificial Intelligence (2015)Research Priorities for Robus…Fairness through awareness (2012)Fairness through awarenessMachine Ethics (2011)Machine EthicsTaking Sides on Technology Neutrality (2007)Taking Sides on Technology Ne…Toward a Critical Technical Practice: Lessons Learned in Trying to Reform AI (2006)Toward a Critical Technical P…Development and Establishment in Artificial Intelligence (1982)Development and Establishment…I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)I.—COMPUTING MACHINERY AND IN…Robots vs algorithms (2022)Robots vs algorithmsIncorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big data: The next frontier for innovation, competition, and productivity (2011)The second machine age: work, progress, and prosperity in a time of brilliant technologies (2015)The future of employment: How susceptible are jobs to computerisation? (2016)Meaningful Human Control over Autonomous Systems: A Philosophical Account (2018)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)Towards a standard for identifying and managing bias in artificial intelligence (2022)Computer Power and Human Reason: From Judgement to Calculation. (1977)The Second Self: Computers and the Human Spirit (1986)The closed world: computers and the politics of discourse in Cold War America (1996)Stories We Tell About Labor (2016)Algorithmic realism (2020)Data Science as Political Action: Grounding Data Science in a Politics of Justice (2020)The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other (1984)Science in action : how to follow scientists and engineers through society (1987)Science in Action: How to Follow Scientists and Engineers through Society (1988)On the Opportunities and Risks of Foundation Models (2021)Declaration of Independence for Cyberspace (1996)A Declaration of the Independence of Cyberspace (2001)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)Seeing the forest for the trees: Visualizing platformization and its governance (2020)The uselessness of AI ethics (2022)Content Analysis: An Introduction to its Methodology. (1984)Risk Society, Towards a New Modernity (1994)Strategic management a stakeholder approach (2010)Auditing of AI: Legal, Ethical and Technical Approaches (2023)Artificial intelligence for literature reviews: opportunities and challenges (2024)Bias and ethics of AI systems applied in auditing - A systematic review (2024)Human-Machine Reconfigurations: Plans and Situated Actions (2006)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)The other question: can and should robots have rights? (2017)Embedding Values in Artificial Intelligence (AI) Systems (2020)Ethical issues in service robotics and artificial intelligence (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Trustworthy AI: A Computational Perspective (2022)Artificial intelligence governance: Ethical considerations and implications for social responsibility (2023)Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)
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References

  • 1950I.—COMPUTING MACHINERY AND INTELLIGENCE10,274 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
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  • 2021The lamp and the lighthouse: Joseph Weizenbaum, contextualizing the critic

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  • 2022Robots vs algorithms15 cited