Is AI just about building bigger models, or should we be asking deeper questions about trust and utility? In this episode of the M365 FM podcast, we sit down with Vivka Aitz, founder of AI Impact, to explore how organizations can move from AI hype to real impact by blending technology with philosophy.

Vivka brings a refreshing perspective to the AI conversation, moving beyond simple automation to ask the critical questions: Should we build it? Can people trust it? Throughout this deep dive, we explore the intersection of technology, philosophy, and business strategy to understand how leadership teams can navigate the generative AI era responsibly.

We cover a wide range of topics including the ethical framework of Immanuel Kant and how it applies to modern automation, the Coca-Cola test for AI quality control, and the real-world challenges of data privacy and bias. Vivka explains why the most successful AI implementations aren't just about the latest models, but about understanding what makes us uniquely human and protecting those relational values in business.

Whether you are an executive, a developer, or a curious observer of technology, this episode provides a roadmap for adopting AI in a way that enhances human work rather than replacing it.

Chapters
0:00 Intro and guest introduction
3:15 Technology, philosophy, and strategy combined
6:40 Why AI adoption is so difficult for companies
11:20 Applying Kantian ethics to automation
16:15 The importance of human relationships in business
20:30 AI and the new definition of mankind
25:00 The practical role of human work in the future
29:45 Autonomous AI and the limits of decision making
34:10 The Coca-Cola test for AI workflows
38:50 Business strategy vs AI trends
43:20 Is AI a technology problem or a culture problem
47:50 Managing bias and hallucinations in models
52:15 Data security and privacy in the age of LLMs
56:40 Who is responsible for AI outcomes
59:05 Final thoughts and wrap up

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