AI Expectations: Responsible Use, Governance, and Trust with Lauren Burke-McCarthy
August 4 – 11, 2026 / 7 PM – 8:30 PM
$150.00
Explore how to use AI responsibly by examining the risks, ethics, and decision-making that shape human-AI collaboration.
This two-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, 2 Weeks, Tuesdays, Online.
Measured vs.
Learning
This workshop 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
Workshops range from 2-4 hours of contact time, depending on the topic and content. To earn your badge of completion, you must attend the entire session.
Meet Your Instructor
Lauren Burke-McCarthy is a Director of Data & AI at Slalom, where she helps organizations translate data and AI opportunities into meaningful impact. With over a decade in data science and AI strategy, she has built systems across highly regulated and consumer-facing sectors to address user needs, improve decisions, and deliver measurable value to organizations and users.
Before joining Slalom, Lauren was Associate Director of Data Science & AI Strategy at Further, where she designed value-driven data and AI solutions, led cross-functional transformations, and operationalized responsible AI.
She is deeply engaged in the Ohio and broader data and AI communities as a TDWI Research Fellow, instructor at Denison University’s Edge, and chair of COSI’s KINETIC Board. Lauren also supports community initiatives at Women in Analytics / DataConnect Conference and was a founding member of scikit-learn’s Communication Team. She is a certified IAPP AIGP and a recipient of the OhioX Trailblazers Award.
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