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Bob Pulver - Maintaining Personal Agency Through AI Integration

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Manage episode 520359680 series 2798463
Content provided by WRKdefined Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by WRKdefined Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Bob Pulver, host of the Elevate Your AIQ podcast and a 25-year enterprise tech and innovation veteran, joins us this week to unpack the urgent need to move past "AI" as a buzzword and define what "Responsible AI" truly means for organizations. He shares his insights on why we are all responsible for AI, how to balance playing "defense" (risk mitigation) and "offense" (innovation), and why we must never outsource our critical thinking and human agency to these new tools.

[0:00] Introduction

  • Welcome, Bob!
  • Today’s Topic: Defining Responsible AI and Responsible Innovation

[12:25] What Does “Responsible AI” Mean?

  • Why elements (like fairness in decision-making, data provenance, and privacy) must be built-in "by design," not bolted on later.
  • In an era where everyone is a "builder," we are all responsible for the tools we use and create.

[25:48] The Two Sides of Responsible Innovation

  • The "responsibility" side involves mitigating risk, ensuring fairness, and staying human-centric—it’s like playing defense.
  • The "innovation" side involves driving growth, entering new markets, and reinvesting efficiency gains—it’s like playing offense.

[41:58] Why don’t we use AI to give us a 4-day work week?

  • The critical need for leaders to separate their personal biases from data-driven facts.
  • AI’s role in recent layoffs.

[50:27] Closing

  • Thanks for listening!

Quick Quote

“We're all responsible for Responsible AI, whatever your role is. You're either using it or abusing it . . . or you're building it or you're testing it.”

  continue reading

254 episodes

Artwork
iconShare
 
Manage episode 520359680 series 2798463
Content provided by WRKdefined Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by WRKdefined Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Bob Pulver, host of the Elevate Your AIQ podcast and a 25-year enterprise tech and innovation veteran, joins us this week to unpack the urgent need to move past "AI" as a buzzword and define what "Responsible AI" truly means for organizations. He shares his insights on why we are all responsible for AI, how to balance playing "defense" (risk mitigation) and "offense" (innovation), and why we must never outsource our critical thinking and human agency to these new tools.

[0:00] Introduction

  • Welcome, Bob!
  • Today’s Topic: Defining Responsible AI and Responsible Innovation

[12:25] What Does “Responsible AI” Mean?

  • Why elements (like fairness in decision-making, data provenance, and privacy) must be built-in "by design," not bolted on later.
  • In an era where everyone is a "builder," we are all responsible for the tools we use and create.

[25:48] The Two Sides of Responsible Innovation

  • The "responsibility" side involves mitigating risk, ensuring fairness, and staying human-centric—it’s like playing defense.
  • The "innovation" side involves driving growth, entering new markets, and reinvesting efficiency gains—it’s like playing offense.

[41:58] Why don’t we use AI to give us a 4-day work week?

  • The critical need for leaders to separate their personal biases from data-driven facts.
  • AI’s role in recent layoffs.

[50:27] Closing

  • Thanks for listening!

Quick Quote

“We're all responsible for Responsible AI, whatever your role is. You're either using it or abusing it . . . or you're building it or you're testing it.”

  continue reading

254 episodes

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