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DTSTART:20270526T190000Z
DTEND:20270526T203600Z
UID:479097
SUMMARY:The Risks of Artificial Intelligence - Part 2
LOCATION:Webinar
DESCRIPTION:The Risks of Artificial Intelligence - Part 2\n\n05/26/27 02:00 PM CST\n - 05/26/27 03:36 PM CST\Description:\nAs artificial intelligence (AI) becomes deeply integrated into business operations and decision-making, organizations must recognize that effective oversight extends beyond technical safeguards.The governance, risk and control (GRC) responsibilities of AI also carry a cultural dimension requiring alignment with corporate ethical values ethical principles and accountability structures.Cultural governance emphasizes leadership commitment, employee engagement and cross-function ownership of AI practices to ensure trust and transparency.  AI-related risks – ranging from bias and ethical concerns to regulatory compliance, reputational exposure and operational vulnerabilities necessitate robust control frameworks and proactive mitigation strategies.   These include governance structures, policies, risk assessments, transparency measures, and continuous monitoring.  By embedding cultural governance and mitigation responsibilities into enterprise AI initiatives, organizations can responsibly harness innovation while safeguarding stakeholders, protecting reputation and ensuring sustainable long-term value.
 Note:  This is Part 2 in a two-part series on the risks of AI
 Speakers:Lynn Fountain\Location:\nWebinar\n\n,
X-ALT-DESC;FMTTYPE=text/html:The Risks of Artificial Intelligence - Part 2<br /><br />05/26/27 02:00 PM CST - 05/26/27 03:36 PM CST<br />Description:<br /><p>As artificial intelligence (AI) becomes deeply integrated into business operations and decision-making, organizations must recognize that effective oversight extends beyond technical safeguards.The governance, risk and control (GRC) responsibilities of AI also carry a cultural dimension requiring alignment with corporate ethical values ethical principles and accountability structures.Cultural governance emphasizes leadership commitment, employee engagement and cross-function ownership of AI practices to ensure trust and transparency. &nbsp;AI-related risks &ndash; ranging from bias and ethical concerns to regulatory compliance, reputational exposure and operational vulnerabilities necessitate robust control frameworks and proactive mitigation strategies. &nbsp; These include governance structures, policies, risk assessments, transparency measures, and continuous monitoring. &nbsp;By embedding cultural governance and mitigation responsibilities into enterprise AI initiatives, organizations can responsibly harness innovation while safeguarding stakeholders, protecting reputation and ensuring sustainable long-term value.</p>

<p>Note: &nbsp;This is Part 2&nbsp;in a two-part series on the risks of AI</p>
<br><b>Speakers:</b><br>Lynn Fountain<br><br />Location:<br />Webinar<br /><br />,  
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