BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ChamberMaster//Event Calendar 2.0//EN METHOD:PUBLISH X-PUBLISHED-TTL:P1H REFRESH-INTERVAL:P1H CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070101T000000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:Eastern Daylight Time END:DAYLIGHT BEGIN:STANDARD RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20070101T000000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:Eastern Standard Time END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20260723T180000 DTEND;TZID=America/New_York:20260723T200000 X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:AI Bias & Governance: Building Trust in the Age of Enterprise AI presented by TAG Diversity\, Equity & Inclusion Society and TAG Data Science & AI Society DESCRIPTION:Every organization is racing to adopt AI. Far fewer are prepared to govern it. As AI becomes embedded in hiring\, customer experiences\, software development\, security\, and business operations\, executive leaders face a new challenge: balancing innovation with accountability. Join senior technology\, security\, legal\, and business leaders for an interactive executive forum exploring how organizations can identify AI bias\, establish effective governance\, and build AI systems employees and customers can trust.The evening opens with a 30-minute moderated executive panel covering where AI bias originates\, real-world examples of AI failures\, governance frameworks that enable rather than slow innovation\, executive accountability across legal\, security\, engineering\, and business teams\, and emerging regulations to prepare for now.Attendees then break into 45 minutes of interactive executive roundtables\, facilitated discussion groups of 8 to 10 led by a panelist\, board member\, or subject matter expert\, covering practical approaches to mitigating AI bias\, governance models that scale\, the role of regulation\, accountability between executives and technical teams\, and measuring trust and responsible AI adoption. Groups share key insights with the room.As presenting sponsor\, Coder will also host a dedicated Sponsor Innovation Room breakout on the technical implementation of AI governance\, covering secure AI-assisted software development\, governance controls for technical teams\, AI usage in regulated and air-gapped environments\, policy enforcement without slowing developer velocity\, and scaling AI responsibly across engineering organizations.\nMeet our SpeakersDave Ahr\nProduct Marketing Manager\, Coder\nNikki Baker\nVice President\, Enterprise AI Portfolio & Partnerships\, Corpay\nShalmali Joshi\nSenior Advanced Analytics Analyst\, Carelon Behavioral Health\nBeverly Wright\nVP Data & AI Strategy\, Intuitive.ai\n\nThank you to our Event Sponsor\nThank you to our Event Host\nThank you to our Annual TAG Data Science & AI Society Sponsors\nOnline registration will close by 5:00 PM on July 22nd. On-site registration is available after this time. On-site registration will have a price increase for Non-Members.\nPlease note that if you belong to a member organization but have not yet connected to your company's membership\, you will need to complete the membership activation form before the member rate is available to you.Privacy Notice By registering for this event\, you agree to TAG's information-sharing practices for networking purposes. View our full Event Privacy Statement here. X-ALT-DESC;FMTTYPE=text/html:

Every organization is racing to adopt AI. Far fewer are prepared to govern it. As AI becomes embedded in hiring\, customer experiences\, software development\, security\, and business operations\, executive leaders face a new challenge: balancing innovation with accountability. Join senior technology\, security\, legal\, and business leaders for an interactive executive forum exploring how organizations can identify AI bias\, establish effective governance\, and build AI systems employees and customers can trust.

The evening opens with a 30-minute moderated executive panel covering where AI bias originates\, real-world examples of AI failures\, governance frameworks that enable rather than slow innovation\, executive accountability across legal\, security\, engineering\, and business teams\, and emerging regulations to prepare for now.

Attendees then break into 45 minutes of interactive executive roundtables\, facilitated discussion groups of 8 to 10 led by a panelist\, board member\, or subject matter expert\, covering practical approaches to mitigating AI bias\, governance models that scale\, the role of regulation\, accountability between executives and technical teams\, and measuring trust and responsible AI adoption. Groups share key insights with the room.

As presenting sponsor\, Coder will also host a dedicated Sponsor Innovation Room breakout on the technical implementation of AI governance\, covering secure AI-assisted software development\, governance controls for technical teams\, AI usage in regulated and air-gapped environments\, policy enforcement without slowing developer velocity\, and scaling AI responsibly across engineering organizations.


Meet our Speakers
Dave Ahr
Product Marketing Manager\, Coder
Nikki Baker
Vice President\, Enterprise AI Portfolio &\; Partnerships\, Corpay
Shalmali Joshi
Senior Advanced Analytics Analyst\, Carelon Behavioral Health
Beverly Wright
VP Data &\; AI Strategy\, Intuitive.ai


Thank you to our Event Sponsor


Thank you to our Event Host


Thank you to our Annual TAG Data Science &\; AI Society Sponsors


Online registration will close by 5:00 PM on July 22nd. On-site registration is available after this time. On-site registration will have a price increase for Non-Members.

Please note that if you belong to a member organization but have not yet connected to your company&rsquo\;s membership\, you will need to complete the \;membership activation form \;before the member rate is available to you.

Privacy Notice \;
By registering for this event\, you agree to TAG'\;s information-sharing practices for networking purposes. View our full Event Privacy Statement \;here.
LOCATION:3280 Peachtree Road Suite 2400 Atlanta GA 30305 UID:e.1848.1565106 SEQUENCE:3 DTSTAMP:20260715T100439Z URL:https://members.tagonline.org/calendar/Details/ai-bias-governance-building-trust-in-the-age-of-enterprise-ai-presented-by-tag-diversity-equity-inclusion-society-and-tag-data-science-ai-society-1844796?sourceTypeId=Hub END:VEVENT END:VCALENDAR