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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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