Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes.

May 24, 2023 · Algorithmic accountability focuses on the question of who takes the obligation to justify the design, use, and outcome of machine learning systems and who assumes …

As a result of these concerns, robust public discourse has called for algorithmic accountability. The current discourse focuses largely on algorithms and their opacity, and I will argue here …

Feb 23, 2023 · What is Algorithmic Accountability? Algorithmic accountability is the idea that those designing, procuring, and using flawed algorithms should be held responsible for their actions …

PART 2: OBSTACLES TO ALGORITHMIC ACCOUNTABILITY UNDER CURRENT FOI LAW: A CONNECTICUT STUDY

Algorithmic Accountability examines the process of assigning responsibility for harm when algorithmic decision-making results in discriminatory and inequitable outcomes.

May 27, 2025 · Algorithmic accountability refers to the ability to understand, explain, and justify the decisions made by AI systems. In this comprehensive guide, we will explore the key …