The Inevitability Curve
The Inevitability Curve
Podcast Description
Every human endeavor leaves a trail through history, revealing patterns that shape its present and hint at its future. In each episode of this captivating series, host Chris Blask dives into the story of a specific topic—unearthing its origins, exploring its current landscape, and imagining what lies ahead. Joined by insightful guests from fields as diverse as technology, arts, education, and communications, Chris brings fresh perspectives to the forces shaping our world and the possibilities of tomorrow.
Podcast Insights
Content Themes
The podcast focuses on a wide array of topics including governance, cybersecurity, corporate ethics, and technology's impact on society. Episodes delve into subjects like the evolution of compliance in AI with Yoav Raiter, the significance of software supply chains with Phil Englert, and the future of investigative journalism with Deb Radcliff, showcasing distinct insights on how these themes influence our world today.
Every human endeavor leaves a trail through history, revealing patterns that shape its present and hint at its future. In each episode of this captivating series, host Chris Blask dives into the story of a specific topic—unearthing its origins, exploring its current landscape, and imagining what lies ahead. Joined by insightful guests from fields as diverse as technology, arts, education, and communications, Chris brings fresh perspectives to the forces shaping our world and the possibilities of tomorrow.
In this episode of The Inevitability Curve, host Chris Blask and guest Amelie Karan engage in a deep, candid conversation about the evolution, current state, and future of artificial intelligence (AI) within the context of cybersecurity and societal impact. They explore how AI has transformed over the last three decades, transitioning from an academic concept into a powerful automated decision science tool. Emily reflects on her early experience with AI and computer engineering in the 1990s, highlighting the early limitations and conceptual nature of AI during that period.
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