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            <title>AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership</title>
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            <description>&lt;p&gt;Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.&lt;/p&gt;
&lt;p&gt;Check our website: https://2021.ai/&lt;br /&gt;
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef&lt;/p&gt;
&lt;p&gt;CHAPTERS&lt;br /&gt;
00:00 Intro&lt;br /&gt;
00:53 When is collaboration between the AI Risk advisor and data scientist needed?&lt;br /&gt;
1:22 What important risks require this collaboration?&lt;br /&gt;
3:00 Data scientist perspective on risk management&lt;br /&gt;
3:51 How a risk assessment process will look with this collaboration&lt;br /&gt;
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            <media:title>AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership</media:title>
            <itunes:summary>Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.
Check our website: https://2021.ai/
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef
CHAPTERS
00:00 Intro
00:53 When is collaboration between the AI Risk advisor and data scientist needed?
1:22 What important risks require this collaboration?
3:00 Data scientist perspective on risk management
3:51 How a risk assessment process will look with this collaboration
7:13 Bias in the process</itunes:summary>
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            <itunes:author>2021.AI</itunes:author>
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            <media:description type="html">&lt;p&gt;Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.&lt;/p&gt;
&lt;p&gt;Check our website: https://2021.ai/&lt;br /&gt;
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef&lt;/p&gt;
&lt;p&gt;CHAPTERS&lt;br /&gt;
00:00 Intro&lt;br /&gt;
00:53 When is collaboration between the AI Risk advisor and data scientist needed?&lt;br /&gt;
1:22 What important risks require this collaboration?&lt;br /&gt;
3:00 Data scientist perspective on risk management&lt;br /&gt;
3:51 How a risk assessment process will look with this collaboration&lt;br /&gt;
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            <title>Ensuring AI Governance Collaboration Across The Organization</title>
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            <description>&lt;p&gt;To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating effective cross-collaboration workflows, you can ensure that everyone is on board with the AI initiative and that the technology is implemented in a safe and effective manner.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;By attending this webinar, you’ll get:&lt;/p&gt;
&lt;p&gt;• an overview of the challenges large organizations often face when implementing AI Governance, from the POC scale to across the enterprise.&lt;/p&gt;
&lt;p&gt;• an understanding of the most valuable roles and responsibilities in driving AI Governance.&lt;/p&gt;
&lt;p&gt;• recommendations for how to dynamically implement and work with AI Governance and ethics initiatives.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ensuring-ai-governance"&gt;&lt;img src="http://events.2021.ai/64968568/94566780/39e6c6fcb9d0d2c7a6f2fdb77ef88a09/standard/download-26-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Tue, 04 Apr 2023 00:00:00 GMT</pubDate>
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• an understanding of the most valuable roles and responsibilities in driving AI Governance.
• recommendations for how to dynamically implement and work with AI Governance and ethics initiatives.</itunes:summary>
            <itunes:subtitle>To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating...</itunes:subtitle>
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            <itunes:duration>17:59</itunes:duration>
            <media:description type="html">&lt;p&gt;To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating effective cross-collaboration workflows, you can ensure that everyone is on board with the AI initiative and that the technology is implemented in a safe and effective manner.&lt;p&gt;&lt;/p&gt;
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&lt;p&gt;• an overview of the challenges large organizations often face when implementing AI Governance, from the POC scale to across the enterprise.&lt;/p&gt;
&lt;p&gt;• an understanding of the most valuable roles and responsibilities in driving AI Governance.&lt;/p&gt;
&lt;p&gt;• recommendations for how to dynamically implement and work with AI Governance and ethics initiatives.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ensuring-ai-governance"&gt;&lt;img src="http://events.2021.ai/64968568/94566780/39e6c6fcb9d0d2c7a6f2fdb77ef88a09/standard/download-26-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>Björn Preuss</category>
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