AI Safety & Society

Risks, ethics, regulation, and the social impact of artificial intelligence.

11 articles · 72,293 words

Articles

  • AI safety

    AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems.

  • AI alignment

    In the field of artificial intelligence (AI), alignment aims to steer AI systems toward a person's or group's intended goals, preferences, or ethical principles.

  • Existential risk from artificial general intelligence

    There is an ongoing hypothesis that substantial progress in artificial general intelligence (AGI) and artificial superintelligence (ASI) could lead to human extinction or an irreversible global catastrophe.

  • Regulation of artificial intelligence

    Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI).

  • Ethics of artificial intelligence

    The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes.

  • Hallucination (artificial intelligence)

    In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation, or delusion) is a response generated by AI that contains false or misleading information presented as fact.

  • Algorithmic bias

    Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as "privileging" one category over another in ways that may or may not be different from the intended function of the algorithm.

  • Deepfake

    Deepfakes (a portmanteau of 'deep learning' and 'fake') are images, videos, or audio that have been edited or generated using artificial intelligence, AI-based tools or audio-video editing software.

  • 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 (AI), otherwise known as AI agents.

  • Explainable artificial intelligence

    Within artificial intelligence (AI), explainable AI (XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans with the ability of intellectual oversight over AI algorithms.

  • AI takeover

    An AI takeover is a theorized future event, often depicted in fiction, in which autonomous artificial intelligence systems acquire the capability to supersede human decisions.