When AI Fails, Accountability Still Belongs to Us 

When AI Fails, Accountability Still Belongs to Us  The new AI Safety Report from RAIDS AI Limited, shared with me by Nikolas Kairinos, analyzed more than forty real cases where artificial intelligence systems caused measurable harm. The total damage exceeds one hundred billion dollars. These are not theoretical risks or futuristic scenarios. They are happening now in hospitals, financial markets, and customer service operations where AI is already making decisions that shape economies and lives. What stood out to me was that in every one of these failures, the machine performed exactly as instructed. It did not rebel. It did not make a random mistake. It optimized the goal it was given,...

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PAST ISSUES

You Have a Leadership Problem

You Have a Leadership Problem Accountability gets tossed around in every leadership meeting, but most companies still get it wrong. It often shows...

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Good Leaders Lie

Good Leaders Lie We’ve all heard the phrase “good leaders lie”—and not because they’re malicious, but because they think they have to. To protect...

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“On Second Thought…”

I’m currently reading Destructive Generation: Second Thoughts About The Sixties, a memoir of ideological disillusionment by David Horowitz and Peter...

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Houston we have a culture problem.

Last week’s Blue Origin space launch—featuring Katy Perry and an all-female crew—was marketed as a celebration of empowerment. But the public wasn’t...

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Agility Is the New Stability

I recently worked with a global pharmaceutical company in the animal health space during a week of political uncertainty—tariffs had been announced,...

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A Culture for All Generations

Disrupting the way we think about generations to attract, engage, and retain all employees

There’s a real benefit in dismantling the perceptions behind Gen Z or X, or whatever the next trendy label is! Citing extensive academic research from her book, Unfairly Labeled, Jessica provides a refreshingly enlightening and data-driven perspective on how multi-generational organizations can strip away stereotypes and and biases that hinder performance and prevent progress toward a common purpose.

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