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Dennis Fraise and Develop This! Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dennis Fraise and Develop This! Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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DT #600 Building Trust in AI: Why Guardrails and Human Oversight Matter

31:18
 
공유
 

Manage episode 520226239 series 2342388
Dennis Fraise and Develop This! Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dennis Fraise and Develop This! Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

💡 Episode Summary

In the final installment of the Develop This! AI series, host Dennis Fraise is joined by Ashley Canada and Eric Canada for an in-depth conversation on developing a comprehensive AI strategy framework for organizations of all sizes.

Together, they unpack the critical need for guardrails that ensure ethical and effective AI use, the importance of human oversight, and the dangers of shadow AI—when employees use unapproved tools without governance.

The discussion highlights data privacy, ethical AI boundaries, and organizational alignment, providing leaders with a practical blueprint for implementing lightweight AI governance. Whether you're leading a small team or managing a large organization, this episode offers real-world insights to help you balance innovation, compliance, and trust.

🚀 Key Takeaways

  • Every organization—no matter its size—needs clear AI guardrails.
  • Guardrails ensure AI adoption remains safe, ethical, and effective.
  • Human oversight is vital to verify AI-generated results.
  • Establish policies that discourage shadow AI and unauthorized tool use.
  • Team involvement in AI policy development fosters buy-in and accountability.
  • 80% of AI tools are failing due to improper implementation.
  • Always check references and sources when using AI for research.
  • Protect your organization by prioritizing data privacy and IP security.
  • Set clear ethical boundaries for AI-generated content.
  • A well-defined AI strategy drives innovation aligned with organizational goals.
  continue reading

129 에피소드

Artwork
icon공유
 
Manage episode 520226239 series 2342388
Dennis Fraise and Develop This! Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dennis Fraise and Develop This! Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

💡 Episode Summary

In the final installment of the Develop This! AI series, host Dennis Fraise is joined by Ashley Canada and Eric Canada for an in-depth conversation on developing a comprehensive AI strategy framework for organizations of all sizes.

Together, they unpack the critical need for guardrails that ensure ethical and effective AI use, the importance of human oversight, and the dangers of shadow AI—when employees use unapproved tools without governance.

The discussion highlights data privacy, ethical AI boundaries, and organizational alignment, providing leaders with a practical blueprint for implementing lightweight AI governance. Whether you're leading a small team or managing a large organization, this episode offers real-world insights to help you balance innovation, compliance, and trust.

🚀 Key Takeaways

  • Every organization—no matter its size—needs clear AI guardrails.
  • Guardrails ensure AI adoption remains safe, ethical, and effective.
  • Human oversight is vital to verify AI-generated results.
  • Establish policies that discourage shadow AI and unauthorized tool use.
  • Team involvement in AI policy development fosters buy-in and accountability.
  • 80% of AI tools are failing due to improper implementation.
  • Always check references and sources when using AI for research.
  • Protect your organization by prioritizing data privacy and IP security.
  • Set clear ethical boundaries for AI-generated content.
  • A well-defined AI strategy drives innovation aligned with organizational goals.
  continue reading

129 에피소드

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