AI Expectations: Responsible Use, Governance, and Trust with Lauren Burke-McCarthy
June 2 - June 23, 2026 / 7:00 pm - 8:30 pm
Online
$300.00
Explore how to use AI responsibly by examining the risks, ethics, and decision-making that shape human-AI collaboration.
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.
Commitment
Level
1.5 hours, 4 Weeks, Tuesdays, Online.
Measured vs.
Learning
This accelerator will explore how to use AI responsibly by examining the risks, ethics, and decision-making that shape human-AI collaboration. Participants will develop practical judgment around privacy, trust, reliability, and governance, learning when and how AI should be used in academic and professional settings. By the end, learners will be better prepared to apply AI safely, ethically, and effectively across real-world scenarios.
*Affiliated Universities: Bluffton, Capital, Heidelberg, Kenyon, Marietta, Ohio Wesleyan, Otterbein Wittenberg, Wooster, Baldwin Wallace, Ohio Northern.
Earn Your Badge
of Completion
Accelerator programs range from 4-12 hours of contact time. To earn your badge of completion, you must achieve a minimum of 75% in three Key Performance areas: Attendance, Participation, and Activities/Assignments. The instructor will provide a specific rubric outlining the Key Performance areas in the course syllabus.
Meet Your Instructor
Lauren Burke-McCarthy is a Senior AI Strategy Lead at Further, where she guides organizations in the strategic enablement, implementation, and risk management of responsible AI solutions. Previously a Data Scientist at CoverMyMeds, Lauren built models and systems to better understand user needs, enhance products, and uncover opportunities. She began her data science career in the retail space, developing solutions across several areas, including supply chain, inventory management, and enterprise business.
As Head of Community at Women in Analytics, a global community that promotes visibility to women making an impact in the analytics space, her primary focus lies in strategy and community growth. She hosts the WIA After Hours podcast and is an Instructor of Analytics Strategy in Business at Denison University’s Denison Edge.
Lauren is 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 a certified IAPP AIGP and the recipient of the inaugural Ohio Trailblazers Award, celebrating women transforming Ohio tech.
Register for AI Expectations: Responsible Use, Governance, and Trust
Explore how to use AI responsibly by examining the risks, ethics, and decision-making that shape human-AI collaboration.
Register