UMBC faculty participate in NIH ethical AI workshop Focus on ethical and transparent AI in biomedical research UMBC faculty Karuna Joshi (IS) and Ansu Chatterjee (Math & Statistics) were invited to participate in the  NIH's Office on Data Science Strategy (ODSS) workshop on ethical and transparent Artificial Intelligence technology in biomedical research.

The three-day workshop, Toward an Ethical Framework for Artificial Intelligence in Biomedical and Behavioral Research: Transparency for Data and Model Reuse, explored and assessed the landscape of ethical AI in the biomedical research context by gathering expert input on opportunities and challenges concerning the ethical use and reuse of data and foundation models in the AI development cycle.

Specific objectives of the interactive workshop included 
  • Developing transparency guidelines for NIH awardees using, developing, or contributing to AI;
  • Identifying tools and capability gaps for ethical and transparent AI; 
  • Predicting trends and future states.
Professor Chatterjee, who is the inaugural Sinha Ennovate Endowed Chair in Statistics at UMBC, was one of the workshop leads. 
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