AI ethics issues Definitions

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  • A

    adversarial machine learning

    Adversarial machine learning is a technique used in machine learning to fool or misguide a model with malicious input.

  • AI governance

    AI governance is the idea that there should be a legal framework for ensuring that machine learning (ML) technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly.

  • algorithmic transparency

    Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information.

  • artificial intelligence

    Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

  • artificial superintelligence (ASI)

    Artificial superintelligence (ASI) is software-based intellectual powers that surpass human ability across almost all conceivable categories and fields of endeavor.

  • O

    OpenAI

    OpenAI is a non-profit research company that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.

  • S

    Singularity (the)

    The Singularity is the hypothetical future creation of superintelligent machines. Superintelligence is defined as a technologically-created cognitive capacity far beyond that possible for humans.

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