Algorithmic accountability is a pressing contemporary issue. Machine learning algorithms—also known as artificial intelligence (AI)—are used in decision-making by state and federal agencies, as well as in the private sector. The decisional outcomes from AI can be critical to the quality of life of affected people, and yet the rationale for algorithmic decisions is often
