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UID:a12fe999-0e17-4549-a39f-7201032b582a@support.access-ci.org
DTSTAMP:20260423T094635Z
DTSTART:20260424T170000Z
DTEND:20260424T180000Z
SUMMARY:Responsible AI & Governance 2.0
DESCRIPTION:Description As AI adoption accelerates across organizations, g
 overnance can no longer rely on static policies, one-time reviews, or high
 -level principles alone. Responsible AI & Governance 2.0 focuses on how in
 stitutions can move toward a more mature operating model built on continu
 ous evidence, lifecycle controls, accountability, and auditable processes.
  This session explores how modern AI governance is evolving in response to
  changing regulatory expectations, decentralised AI adoption, and growing 
 pressure to deploy systems quickly without compromising safety, trust, or
  compliance. Drawing on practical governance frameworks, standards, and re
 al-world case studies, we will discuss how to design governance processes 
 that are risk-based, scalable, and usable in real environments. Who Shoul
 d Attend AI/ML leaders, technical directors, platform and product owners,
  data scientists, risk and compliance professionals, security and privacy 
 staff, research software engineers, and institutional decision-makers resp
 onsible for evaluating, deploying, or overseeing AI systems. This session
  is especially useful for those who want to understand how to operationali
 ze trustworthy AI beyond policy statements and into real governance workfl
 ows. Topics What “Governance 2.0” means and how it differs from trad
 itional governance models The main pressures shaping AI governance today,
  including regulation, delivery speed, risk, and trust Trustworthy AI dim
 ensions such as validity, safety, security, accountability, explainability
 , and fairness How generative AI changes the governance risk surface Ris
 k-based governance approaches, including intake, classification, routing, 
 and review Documentation, testing, release gates, monitoring, and inciden
 t response as part of an evidence-driven governance model Third-party and
  foundation model governance, including vendor risk and change management
  Implementation roadmaps, leadership metrics, and common governance pitfa
 lls to avoid Level Intermediate. Attendees should have a basic understan
 ding of AI systems and organizational technology use, but no prior backgro
 und in formal AI governance frameworks is required.
URL:https://support.access-ci.org/events/9053
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