270 citations · 1.3k across the 102 of their papers we have counts for
20 papers · 1 filter
Next-Billion AI Index: The compass for AI utility and adoption in the global majority
Ambrish Rawat, Jessica He, Subhabrata Majumdar +6
Generative AI assessments remain dominated by frontier capability benchmarks that often fail to capture whether systems can be sustainably deployed, adapted, and trusted in locally…
A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge
Saleh Afroogh, Kush R. Varshney, Jason D'Cruz
According to several empirical investigations, despite enhancing human capabilities, human-AI cooperation frequently falls short of expectations and fails to reach true synergy. We…
AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly +17
The rapid evolution of generative AI has expanded the breadth of risks associated with AI systems. While various taxonomies and frameworks exist to classify these risks, the lack o…
An Annotated Reading of 'The Singer of Tales' in the LLM Era
Kush R. Varshney
The Parry-Lord oral-formulaic theory was a breakthrough in understanding how oral narrative poetry is learned, composed, and transmitted by illiterate bards. In this paper, we prov…
Scopes of Alignment
Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf +2
Much of the research focus on AI alignment seeks to align large language models and other foundation models to the context-less and generic values of helpfulness, harmlessness, and…
When Trust is Zero Sum: Automation Threat to Epistemic Agency
Emmie Malone, Saleh Afroogh, Jason DCruz +1
AI researchers and ethicists have long worried about the threat that automation poses to human dignity, autonomy, and to the sense of personal value that is tied to work. Typically…