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(330) Agentic

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Manage episode 488708418 series 1282303
Content provided by Matt Ballantine and Chris Weston. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Ballantine and Chris Weston 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://ppacc.player.fm/legal.

On this week’s show, Chris, Lisa and Michelle dive deep into Agentic AI, exploring how it differs from traditional automation and current AI tools. Chris explains that while regular agents follow basic rules (like a thermostat) and AI agents respond to commands (like Alexa), Agentic AI systems work autonomously toward outcomes – they’re proactive, learn from mistakes, and can collaborate with other AI agents. The discussion illustrates how these systems can take on complex, ongoing tasks that would be tedious for humans.

The conversation also tackles the significant challenges and risks of Agentic AI implementation. Key concerns include maintaining human accountability when autonomous systems make decisions, the degradation of AI quality due to increased demand and training on AI-generated content, and real-world legal issues like the Workday class action lawsuit involving age discrimination in AI screening.

  continue reading

250 episodes

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(330) Agentic

WB-40

published

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Manage episode 488708418 series 1282303
Content provided by Matt Ballantine and Chris Weston. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Ballantine and Chris Weston 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://ppacc.player.fm/legal.

On this week’s show, Chris, Lisa and Michelle dive deep into Agentic AI, exploring how it differs from traditional automation and current AI tools. Chris explains that while regular agents follow basic rules (like a thermostat) and AI agents respond to commands (like Alexa), Agentic AI systems work autonomously toward outcomes – they’re proactive, learn from mistakes, and can collaborate with other AI agents. The discussion illustrates how these systems can take on complex, ongoing tasks that would be tedious for humans.

The conversation also tackles the significant challenges and risks of Agentic AI implementation. Key concerns include maintaining human accountability when autonomous systems make decisions, the degradation of AI quality due to increased demand and training on AI-generated content, and real-world legal issues like the Workday class action lawsuit involving age discrimination in AI screening.

  continue reading

250 episodes

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