Denison Edge: AI Expectations: Responsible Use, Governance, and Trust

This four-week accelerator explores the key considerations that shape responsible AI use in academic and professional settings. Participants will examine core dimensions of AI tools and systems, including privacy and security, trust and reliability, data and content, human-AI interaction, and context and prompting. Throughout the program, learners will develop practical judgment for using AI safely, ethically, and effectively while building a stronger understanding of governance, risk, and accountability. By the end, participants will be better prepared to evaluate when and how AI should be used, communicate expectations clearly, and apply responsible practices across real-world use cases. Instructor: Lauren Burke-McCarthyLauren Burke-McCarthy is a Senior Data Science Lead, Strategy at Further. Previously a Data Scientist at CoverMyMeds, Lauren built models and systems to improve understanding of user needs, enhance products, and discover opportunities. She began her data science career in the retail space, developing solutions across several areas including supply chain, inventory management, and enterprise business. Lauren is the Director of Operations of Women in Analytics, where her primary focus lies in strategy and community growth. She also hosts the WIA After Hours podcast. Lauren serves as a Core Advisor on the Midwest Big Data Hub’s Community Advisory Panel, a member of TECH CORPS’ Regional Steering Committee, Chair of COSI’s KINETIC Board, and a founding member of scikit-learn’s Communication Team. She is the recipient of the inaugural Ohio Trailblazers Award, celebrating women transforming Ohio tech. Schedule: Tuesdays from 7:00-8:30pm starting on 6/2 and ending on 6/23