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Challenging the Human-in-the-loop in Algorithmic Decision-making
To this end, we assume that a strategic decision-maker (SDM) introduces ADM to optimize strategic and societal goals while the algorithms' recommended actions are overseen by a practical decision-maker (PDM) - a specific human-in-the-loop - who makes the final decisions.
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Explanations of AI systems rarely address the information needs of people affected by algorithmic decision-making (ADM).
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences.
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