Translating Company Values into AI Principles That Scale

How can teams start implementing an ethical AI framework? Ethics should move to the left, embedded between ideation and design, not retrofitted after the build is done. Our expert panel shares practical approaches to implementing ethical AI frameworks, from defining what you want not to do as a starting point to giving designers and developers the tools to make good decisions daily. The hardest questions have no clear answers: just because we can doesn't mean we should. This is a key takeaway from our Insight Jam LIVE! 2025 panel, "Responsible AI: Aligning Culture and Policy for the Empathetic Enterprise". Check out the full discussion here: https://youtu.be/KPseWGNK2HY Join the Insight Jam today! — https://insightjam.com/ • PANELISTS • Donald Farmer https://www.linkedin.com/in/donalddotfarmer/ Futurist, Tranquilla AI Arvin Ross https://www.linkedin.com/in/arvin-ross-50019165/ Co-Founder & Chief Culture Architect, ProSolve Aurimas Griciūnas https://www.linkedin.com/in/aurimas-griciunas/ Founder & CEO, SwirlAI Chris McClean https://www.linkedin.com/in/chris-mcclean/ Responsible AI Lead, Independent Advisory Daniel Hungerford https://www.linkedin.com/in/daniel-hungerford/ Founder & CEO, EverFriends.ai Robert Munjoma https://www.linkedin.com/in/robert-munjoma-176385160/ Executive Advisor, Responsible AI, CDiGlobal ArcPoint • CHAPTERS • 0:00 Start with What You Don't Want to Do 0:33 Ethics Should Move to the Left: Before Design, Not After 1:31 Revamp Your Values: Define the End in Mind 3:16 Open the Conversation: Bring in Diverse Perspectives 5:05 Just Because We Can Doesn't Mean We Should 6:42 The Scope of Ethical Work: Beyond Your Own System 8:19 Transparency and the Right to Opt Out 10:23 Translating Values into AI Principles and Standards 12:17 Giving Designers the Tools to Make Good Decisions