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

How Do You Prepare to Show Up Everyday_