114 citations · 339 across the 21 of their papers we have counts for
5 papers · 1 filter
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
Siddharth Mehrotra, Jin Huang, Xuelong Fu +3
Background: Trustworthy AI serves as a foundational pillar for two major AI ethics conferences: AIES and FAccT. However, current research often adopts techno-centric approaches, fo…
From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care
Daniel Anadria, Roel Dobbe, Anastasia Giachanou +6
In this work, we reflect on the data-driven modeling paradigm that is gaining ground in AI-driven automation of patient care. We argue that the repurposing of existing real-world p…
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
Shalaleh Rismani, Roel Dobbe, AJung Moon
To effectively address potential harms from Artificial Intelligence (AI) systems, it is essential to identify and mitigate system-level hazards. Current analysis approaches focus o…
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindström, Leila Methnani, Lea Krause +4
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinfo…
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
As AI systems become prevalent in high stakes domains such as surveillance and healthcare, researchers now examine how to design and implement them in a safe manner. However, the p…