196 citations · 606 across the 27 of their papers we have counts for
5 papers · 1 filter
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems
Alex John London, Hoda Heidari
The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals.…
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Benjamin Laufer, Jon Kleinberg, Hoda Heidari
Recent advances in Machine Learning (ML) and Artificial Intelligence (AI) follow a familiar structure: A firm releases a large, pretrained model. It is designed to be adapted and t…
Moral Machine or Tyranny of the Majority?
Michael Feffer, Hoda Heidari, Zachary C. Lipton
With Artificial Intelligence systems increasingly applied in consequential domains, researchers have begun to ask how these systems ought to act in ethically charged situations whe…
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
Anna Kawakami, Amanda Coston, Haiyi Zhu +2
AI-based decision-making tools are rapidly spreading across a range of real-world, complex domains like healthcare, criminal justice, and child welfare. A growing body of research…
Informational Diversity and Affinity Bias in Team Growth Dynamics
Hoda Heidari, Solon Barocas, Jon Kleinberg +1
Prior work has provided strong evidence that, within organizational settings, teams that bring a diversity of information and perspectives to a task are more effective than teams t…