EP 604: Beyond the Hype: Turning AI Ethics into Competitive Advantage

AI growth with no rules? That’s not bold. It’s reckless. Everyone’s racing to scale AI. More data, faster tools, flashier launches. But here’s what no one’s saying out loud: Growth without governance doesn’t make you innovative. It makes you vulnerable. Ignore ethics, and you’re building an empire on quicksand. In this episode, we’re breaking down how to scale AI the right way—without wrecking trust, compliance, or your future. Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join the discussion: Questions for Rajeev or Jordan? Go ask. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: Balancing AI Innovation with Ethical Governance Introduction of Rajeev Kapur and Eleven o Five Media Rajeev Kapur's Background in AI Companies Balancing AI Innovation and Ethics Formation of AI Ethics Board Data Management as Competitive Advantage Privacy and Ethics as Product Features Governance and Ethical Standards in AI Use Impact of Regulatory Changes on AI Use Deepfakes and Their Implications Encouragement for Companies to Lead Ethically in AI Timestamps: 00:00 Navigating AI: Innovation vs. Risks 04:00 "AI Startup's Spatial Audio Journey" 06:49 AI Ethics Oversight & Governance 10:04 Strategic AI Advisory Team Formation 15:34 AI Strategy and Governance Essentials 16:55 Global Standardization Needed for AI Policies 22:47 AI Ethics: Innovation vs. Deepfakes 25:48 "Regulate Deepfakes Like Nukes" 27:17 Leadership Vision for Future Success Keywords: AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining data Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner