Results for "traceable decisions"

A subfield of AI where models learn patterns from data to make predictions or decisions, improving with experience rather than explicit rule-coding.

Techniques to understand model decisions (global or local), important in high-stakes and regulated settings.

System design where humans validate or guide model outputs, especially for high-stakes decisions.

Ensuring decisions can be explained and traced.

Required human review for high-risk decisions.

Logged record of model inputs, outputs, and decisions.

Legal or policy requirement to explain AI decisions.

Ability to inspect and verify AI decisions.

AI systems assisting clinicians with diagnosis or treatment decisions.

Requirement to reveal AI usage in legal decisions.

Decisions dependent on others’ actions.