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  2. Ethics of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Ethics_of_artificial...

    The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation.

  3. Machine ethics - Wikipedia

    en.wikipedia.org/wiki/Machine_ethics

    Machine ethics (or machine morality, computational morality, or computational 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. [1] Machine ethics differs from other ethical fields ...

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    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. [1]

  5. Cansu Canca - Wikipedia

    en.wikipedia.org/wiki/Cansu_Canca

    Cansu Canca (pronunciation: [dʒanˈsu dʒanˈdʒa]) is a moral and political philosopher, with a Ph.D. specializing in applied ethics, and founder and director of AI Ethics Lab. [1][2][3][4] Formerly, she was a bioethicist at the University of Hong Kong, [5] and an ethics researcher at Harvard Law School, [6] Harvard School of Public Health ...

  6. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [1][2] The main focus is usually on the reasoning behind the decisions or ...

  7. Fairness (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Fairness_(machine_learning)

    Fairness in machine learning refers to the various attempts at correcting algorithmic bias in automated decision processes based on machine learning models. Decisions made by computers after a machine-learning process may be considered unfair if they were based on variables considered sensitive. For example gender, ethnicity, sexual orientation ...

  8. Computer ethics - Wikipedia

    en.wikipedia.org/wiki/Computer_ethics

    Computer ethics is a part of practical philosophy concerned with how computing professionals should make decisions regarding professional and social conduct. [1]Margaret Anne Pierce, a professor in the Department of Mathematics and Computers at Georgia Southern University has categorized the ethical decisions related to computer technology and usage into three primary influences: [2]

  9. Three Laws of Robotics - Wikipedia

    en.wikipedia.org/wiki/Three_Laws_of_Robotics

    The Laws. The Three Laws, presented to be from the fictional "Handbook of Robotics, 56th Edition, 2058 A.D.", are: [1] The First Law: A robot may not injure a human being or, through inaction, allow a human being to come to harm. The Second Law: A robot must obey the orders given it by human beings except where such orders would conflict with ...