As generative AI tools become increasingly embedded in personal and work lives, users must contend with questions about safety, security, and privacy. This session offers a practical framework for evaluating generative AI tools through a risk-aware lens, helping participants make informed choices about adoption and use. We will explore key considerations, including data handling, model transparency, and ethical safeguards, and provide attendees with ready-to-use checklists and evaluation rubrics for assessing AI tools in institutional or professional contexts.
Jordan Jefferson is the Director of the Lynne L. Pantalena Law Library and an Associate Professor of Law at Quinnipiac University. Her work focuses on the intersection of law, technology, and pedagogy. She teaches a course on AI in the legal profession and contributes to institutional guidance on AI policy and tool evaluation. Her current scholarship explores the ethical and practical implications of generative AI in legal education.
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!