Glossary

Interpretability in AI is crucial, as it signifies the degree to which a human user can comprehend the rationale behind decisions made by an artificial intelligence model. It helps in building trust and accountability in AI systems.

Interpretation in tech is the method of decoding data, software, or a computer system’s actions, converting esoteric ideas into understandable, concrete terms.

Intrinsic Motivation refers to the self-driven desire in AI for learning and self-improvement. It involves elements like curiosity, exploration, creativity, and self-regulation.