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.

Join us live as we break down Sustainable Growth with AI: Balancing Innovation with Ethical Governance — An Everyday AI Chat with Rajeev Kapur and Jordan Wilson

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Topics Covered in This Episode:

1. Balancing AI Innovation with Ethical Governance
2. Introduction of Rajeev Kapur and Eleven o Five Media
3. Rajeev Kapur's Background in AI
4. Companies Balancing AI Innovation and Ethics
5. Formation of AI Ethics Board
6. Data Management as Competitive Advantage
7. Privacy and Ethics as Product Features
8. Governance and Ethical Standards in AI Use
9. Impact of Regulatory Changes on AI Use
10. Deepfakes and Their Implications
11. 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, Diverse community partn

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