12 citations · 14 across the 4 of their papers we have counts for
4 papers
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
Timothée Schmude, Laura Koesten, Torsten Möller +1
Deploying AI systems in public institutions can have far-reaching consequences for many people, making it a matter of public interest. Providing opportunities for stakeholders to c…
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Timothée Schmude, Laura Koesten, Torsten Möller +1
Every AI system that makes decisions about people has a group of stakeholders that are personally affected by these decisions. However, explanations of AI systems rarely address th…
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
Timothée Schmude, Laura Koesten, Torsten Möller +1
We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences. We shortly introduce the…
On the Impact of Explanations on Understanding of Algorithmic Decision-Making
Timothée Schmude, Laura Koesten, Torsten Möller +1
Ethical principles for algorithms are gaining importance as more and more stakeholders are affected by "high-risk" algorithmic decision-making (ADM) systems. Understanding how thes…