Glossary

Model Explainability in AI is a key factor in making AI decisions reliable. It involves techniques for understanding and interpreting AI models’ actions for transparency and human comprehension.

Monte Carlo Tree Search is a powerful decision-making algorithm using random sampling, simulation, and tree scanning to expertly navigate extensive decision spaces.

Prime within AI, Mechanism Design targets system setups for specific goals amidst several parties, creating rules for efficient outcomes.