Mohammad Hossein Jarrahi on human-AI symbiosis, intertwined automation and augmentation, the race with the machine, and tacit knowledge (AC Ep62)

by shan | Sep 18, 2024 | Podcast

“We have unique capabilities, but it’s crucial to understand that today’s AI technologies, powered by deep learning, are fundamentally different. We need a new paradigm to figure out how we can work together.” – Mohammad Hossein Jarrahi About...

Sir Andrew Likierman on six elements for improving judgement, increasing awareness, and the comparative advantages of humans over AI (AC Ep61)

by shan | Sep 11, 2024 | Podcast

“Machines are amazing, but they can’t do certain things that only human beings can, like exhibit consciousness, ethics, or the ability to develop social bonds involving emotions, trust, loyalty, and empathy.” – Andrew Likierman About Sir Andrew...

Minter Dial on organizational empathy, augmenting with AI, empathic curiosity, and connecting to reality (AC Ep16)

by shan | Oct 25, 2023 | Podcast

“The beauty of life is dealing with challenges, not pretending that it’s perfect.” – Minter Dial About Minter Dial Minter Dial is a professional speaker on leadership and transformation and the award-winning author of four books, most recently...

Regan Robinson on spending time in the future, using imagination, things that make you go hmmm, and hyper-awareness (AC Ep15)

by shan | Oct 18, 2023 | Podcast

“Imagination has a trigger event. It begins with a mental spark that acts as a catalyst, throwing everything into question. It ignites your curiosity and starts shifting your perception.” – Regan Robinson About Regan Robinson Regan Robinson is a futurist,...

Toby Walsh on the differences between human and artificial intelligence, our relationship to machines, amplifying capabilities, and making the right choices (AC Ep14)

by shan | Oct 11, 2023 | Podcast

“There’s no point trying to teach ourselves to be better calculators because machines are much better calculators. We should be playing to our strengths and handing over those tasks, many of which we never actually like doing, to machines that they’re better...