In this thought-provoking episode of Call Me Data, David and Peter explore the “illusion of intelligence” in today’s AI systems. While generative AI models sound confident and authoritative, the duo digs into the dangers of misplaced trust, automation bias, and intellectual laziness. They challenge listeners to rethink how AI models influence decision-making in law, healthcare, and everyday life. With real-world examples, humorous anecdotes (including the infamous cancer-detecting pigeons), and actionable takeaways, this episode is a timely reminder that sounding smart isn’t the same as being correct. If you’ve ever taken an AI response at face value — you’ll be rethinking it after this.

00:00 The Illusion of Intelligence
09:32 Human vs. Machine Decision-Making
16:15 The Role of Human Oversight
22:23 Crowdsourcing Intelligence: The Pigeon Experiment
30:55 The Value of a Novice Mind
37:03 Politeness and Empathy in AI Models
41:52 Licensing and Education for AI Users
48:38 The Role of AI in Decision Making
57:35 Predictions for AI in the Next Six Months

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#aiethics #aitrust #futuretech

In this thought-provoking episode of Call Me Data, David and Peter explore the evolving landscape of human-machine interaction in the age of AI. From voice-first workflows and stream-of-consciousness content creation to avatar-led teaching and non-interaction AI agents, they dive deep into how tools like Super Whisper, HeyGen, and NotebookLM are changing the way we think, write, and work. They also touch on the broader cognitive impacts of AI, from creativity boosts to potential skill erosion, and debate whether AI makes us smarter—or lazier. If you're navigating the frontier of AI-powered productivity, this conversation is your compass.

00:00 Introduction to AI and Human Interaction
06:49 AI as a Tool for Content Creation
16:47 Multimodal Interaction: The Future of AI
24:54 The Evolution of AI Avatars
34:02 Human-Machine Interaction and Its Implications
41:25 The Impact of AI on Human Intelligence
48:27 The Future of AI Tool Usage and Licensing

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#aiproductivity #futureofwork #generativeai

In this thought-provoking episode of Call Me Data, David Gleason and Peter Memon explore the provocative idea that the future of artificial intelligence will—and should—be boring. Drawing parallels to the evolution of smartphones, they argue that when AI becomes mundane, it will also become maximally useful. The conversation touches on AI adoption barriers, the human hesitation around "cheating" with automation, and the mindset shift required to truly integrate AI into daily workflows. With humor, insight, and practical takeaways, this episode challenges listeners to rethink how they view and use AI tools—today and tomorrow. Perfect for tech enthusiasts, professionals, and skeptics alike.

00:00 The Future of AI: Boring is Good
05:28 The Stigma of Using AI: Cheating or Efficiency?
11:39 The Effort Behind AI: Not Just an Easy Button
17:41 Teaching AI Usage: Bridging the Knowledge Gap
26:01 The Evolution of AI Interfaces
32:09 The Role of Human Oversight in AI
40:43 Global Standards for AI Safety
46:07 The Path to Normalization of AI Usage

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#futureofai #artificialintelligence #techpodcasts