AI legal issues and compliance Definitions

  • A

    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 accountability

    Algorithmic accountability is the concept that companies should be held responsible for the results of their programmed algorithms.

  • Artificial Intelligence as a Service (AIaaS)

    Artificial Intelligence as a Service (AIaaS) is the third party offering of artificial intelligence (AI) outsourcing.

  • C

    cognitive bias

    Cognitive bias is a limitation in objective thinking that is caused by the tendency for the human brain to perceive information through a filter of personal experience and preferences. The limitation helps the brain prioritize and process vast amounts of information but can cause errors in thinking that can be exploited.

  • R

    robot economy

    The robot economy is a scenario in which most of the labor required to sustain human life is automated.