1 citations · 1 across the 3 of their papers we have counts for
4 papers
Aptamers as a sandbox for lab-in-the-loop agentic molecular discovery
Zachary Cutts, John Coller, Rachel Chen +9
Despite breakthroughs in AI-driven molecular generation, existing discovery pipelines operate largely in silico, with wet-lab feedback reserved for validation rather than iterative…
Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
Pooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini +1
Artificial Intelligence (AI) is increasingly used in hiring, with large language models (LLMs) having the potential to influence or even make hiring decisions. However, this raises…
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Pooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi +2
We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{A…
RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
Pooja S. B. Rao, Sanja Šćepanović, Ke Zhou +2
Risk reporting is essential for documenting AI models, yet only 14% of model cards mention risks, out of which 96% copying content from a small set of cards, leading to a lack of a…