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เนื้อหาจัดทำโดย DataStax and Charna Parkey เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก DataStax and Charna Parkey หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin

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Manage episode 443179548 series 3604986
เนื้อหาจัดทำโดย DataStax and Charna Parkey เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก DataStax and Charna Parkey หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

As AI becomes increasingly integrated into business operations, having robust governance structures in place is no longer optional. But what does effective AI governance look like in practice? In this episode, Dr. Heather Domin, a leading expert in AI ethics and governance, breaks down the key components of a successful AI governance framework. Heather guides us through the opportunities and challenges presented by this transformative technology. Learn about the importance of responsible adoption practices, the role of governance structures, the need for ongoing feedback loops and how to align AI initiatives with organizational values, establishing clear accountability, and creating a culture of responsible innovation.
Timestamps

00:00:00 - 00:01:23 - Introduction

00:01:23 - 00:04:30 - Heather Domin's Journey

00:09:50 - 00:12:48 - Open Source and AI Ethics

00:12:48 - 00:15:25 - Generative AI and Governance

00:23:40 - 00:26:22 - Future of Responsible AI Practices

00:35:37 - 00:37:31 - Advice for the Audience

00:37:31 - 00:46:04 - Reflection on Risk and Hope in AI

Quotes

Heather Domin

"I think that each of us individually can scan our environment and understand, you know, where can I make an impact? What problem can I help solve? What is the next thing that I can really contribute to?"

"There are absolutely ways to automate, you know, the prompt testing and many of the routine tasks that you want to leverage automation in that way so that you can actually have the humans focus on other, other things so they can focus on the critical thinking and outside the box sort of thinking that we want the humans to be focused on."

Charna Parkey

"I think that it's a hard for people getting into it for the first time to jump to hope if they've experienced something that they should fear in the past. By that, I mean, groups that have been marginalized by other forms of technology are not going to start hopeful with this new one that is is using their data without their permission.."

"If for some reason I came to understand in a month what that meant, I should be able to go back and revoke and be like, nope, I actually don't want you to have that anymore. So I think that that would help people feel better."

Check Heather's paper: On the ROI of AI Ethics and Governance Investments

Connect with Heather
Connect with Charna

  continue reading

103 ตอน

Artwork
iconแบ่งปัน
 
Manage episode 443179548 series 3604986
เนื้อหาจัดทำโดย DataStax and Charna Parkey เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก DataStax and Charna Parkey หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

As AI becomes increasingly integrated into business operations, having robust governance structures in place is no longer optional. But what does effective AI governance look like in practice? In this episode, Dr. Heather Domin, a leading expert in AI ethics and governance, breaks down the key components of a successful AI governance framework. Heather guides us through the opportunities and challenges presented by this transformative technology. Learn about the importance of responsible adoption practices, the role of governance structures, the need for ongoing feedback loops and how to align AI initiatives with organizational values, establishing clear accountability, and creating a culture of responsible innovation.
Timestamps

00:00:00 - 00:01:23 - Introduction

00:01:23 - 00:04:30 - Heather Domin's Journey

00:09:50 - 00:12:48 - Open Source and AI Ethics

00:12:48 - 00:15:25 - Generative AI and Governance

00:23:40 - 00:26:22 - Future of Responsible AI Practices

00:35:37 - 00:37:31 - Advice for the Audience

00:37:31 - 00:46:04 - Reflection on Risk and Hope in AI

Quotes

Heather Domin

"I think that each of us individually can scan our environment and understand, you know, where can I make an impact? What problem can I help solve? What is the next thing that I can really contribute to?"

"There are absolutely ways to automate, you know, the prompt testing and many of the routine tasks that you want to leverage automation in that way so that you can actually have the humans focus on other, other things so they can focus on the critical thinking and outside the box sort of thinking that we want the humans to be focused on."

Charna Parkey

"I think that it's a hard for people getting into it for the first time to jump to hope if they've experienced something that they should fear in the past. By that, I mean, groups that have been marginalized by other forms of technology are not going to start hopeful with this new one that is is using their data without their permission.."

"If for some reason I came to understand in a month what that meant, I should be able to go back and revoke and be like, nope, I actually don't want you to have that anymore. So I think that that would help people feel better."

Check Heather's paper: On the ROI of AI Ethics and Governance Investments

Connect with Heather
Connect with Charna

  continue reading

103 ตอน

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