📢 Can you really trust AI—or are we putting too much faith in a system we barely understand?
In this episode of Data Faces, we sit down with executive advisor Robert Lake to explore what it truly means to trust AI in business—and why it starts with people, not just the tech.
Robert draws on 30+ years of experience in data science and strategic advising to break down the hidden challenges of building AI that organizations (and humans) can confidently rely on. From governance to explainability to emotional dependency on machines—this is the human side of AI you don’t want to miss.
🔍 Key Takeaways:
1- Why trust in AI is often misplaced—and how to fix that
2- The myth of AI "reasoning" and the dangers of anthropomorphizing tech
3- How business leaders can evaluate the intentions behind AI systems
4- Why core values—not compliance checklists—drive ethical AI adoption
5- How to build long-term “AI habits” that align with real business goals
⏳ Timestamps for Easy Navigation:
00:00 – Introduction & what trust in AI really means
02:23 – Robert’s background in data science & business exits
05:14 – Probabilistic AI vs. executive desire for certainty
07:55 – Humanizing machines: the real risk behind emotional AI
11:53 – Evaluating intentions: what the “trust module” really checks
17:33 – Explainability, accountability, and who owns the system
21:12 – Building AI habits: Lessons from Lean Six Sigma
23:31 – Do we need new trust frameworks in AI?
29:52 – AI maturity in executive teams & why less tech is more
34:38 – Organizational change: Why “start with why” still matters
37:17 – Final advice: “What would your grandma say?”
38:36 – How to connect with Robert
đź“© More insights & resources:
👉 https://treboradvisors.com
đź”— Connect with Robert Lake:
đź’Ľ LinkedIn: https://www.linkedin.com/in/rjlake
🌎 Website: https://treboradvisors.com
💬 What’s your take on AI trust? Drop a comment below!
đź‘Ť If this sparked your thinking, like, share & subscribe for more expert insights on AI, data, and business strategy.
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