AI ethics issues Definitions

  • A

    adversarial machine learning

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

  • AI (artificial intelligence)

    AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

  • 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 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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