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Terminology

Explore explanations of key terms and concepts, helping you better understand the language behind our work.

Algorithmic bias

Algorithmic bias

Algorithmic bias in AI occurs when an AI system produces unfair or prejudiced outcomes

AI training methods

AI training methods

AI training methods are techniques used to teach models how to perform tasks by

AI slop

AI slop refers to the unintended, messy, or inefficient outputs and behaviors that arise

Recursive self-improvement

Recursive self-improvement

Recursive self-improvement in AI refers to an AI system’s ability to improve its own

AI governance

AI governance refers to the frameworks, policies, and practices that guide the responsible development

AI bias

AI bias occurs when an artificial intelligence system produces unfair or prejudiced outcomes due

AI data leak

An AI data leak occurs when sensitive or private information used to train or

AI legislation

AI legislation refers to laws and regulations designed to govern the development, deployment, and

Responsible AI

Responsible AI refers to designing and using artificial intelligence in ways that are ethical,

AI ethics

AI ethics refers to the principles and guidelines that ensure artificial intelligence is developed

Artificial intelligence (AI)

Artificial intelligence (AI)

AI, or artificial intelligence, is technology that enables machines to perform tasks requiring human-like