collaborators

5 papers

cs.HC2026

AI as Teammate: Rethinking Task Distribution in Medical Training

Fendi Tsim, Alina Gutoreva, Anthony Weiss +1

Integrating Artificial Intelligence (AI), particularly generative AI, into medical training has prompted concerns about learner over-reliance, misuse, and erosion of foundational c…

cs.AI2026

Psychological Competence as a Missing Dimension in AI Evaluation

Marcos Economides, Paul M. Sacher, Samuel Salzer +3

Current AI evaluation frameworks focus primarily on technical performance, including accuracy, robustness, reasoning ability, and policy compliance. These measures remain essential…

cs.AI2026

Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI

Trisevgeni Papakonstantinou, Cansu Canca, Farah Nanji +14

Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has…

cs.HC2026

SCAN: A Decision-Making Framework for Effective Task Allocation with Generative AI

Fendi Tsim, Alina Gutoreva

We introduce SCAN -- a human-centric decision-making framework to facilitate learners for effective task allocation with Generative Artificial Intelligence (GenAI) based on Vygotsk…

cs.HC2026

Position: AI as Part of Self -- Extending the Mind Requires Cognitive Co-Regulation

Alina Gutoreva, Fendi Tsim, Trisevgeni Papakonstantinou

This position paper argues that safety and alignment cannot be achieved by constraining an external system: they must emerge from the co-regulatory design of the human--AI cognitiv…