BEGIN:VCALENDAR VERSION:2.0 PRODID:-//www.twentythree.net, see addthisevent.com for calendar stuff though//EN BEGIN:VEVENT DTSTAMP:20260415T150000Z STATUS:CONFIRMED DTSTART:20260415T070000Z DTEND:20260415T150000Z SUMMARY:Physical Course: Getting AI Governance right DESCRIPTION:https://events.2021.ai/physical-course-getting-ai \n\nDoes your company work with AI—or plan to—and are you unsure how to \nturn AI Governance into concrete practice? This foundational course \ngives you a clear, hands-on starting point. In short: if you want to \ndocument control of AI in line with AI regulation and internal \npolicies, you need clear roles, controls, and processes that work in \nday-to-day operations. This course shows you how.\n\nAI Governance helps you to run your AI responsible, compliant, and \neffective in your organisation. The goal is to make requirements \ntangible: establish clear accountability, right-size controls to risk, \nand create the necessary documentation needed for later audits. When \ngovernance is implemented correctly, leadership and stakeholders gain \nconfidence that you can deliver AI solutions that meet internal \npolicies, regulatory expectations, risk-management requirements.\n\nThis course focuses on the practical application of AI Governance and \ngives you the overview and insight needed to document your governance \neffort, identify gaps, and understand how governance (policies, \ncontrols, roles/RACI, etc.) are implemented in practice—illustrated \nwith concrete examples.\n\n***Course objectives*\n\nAfter the course, participants will have:\n\n-\n\nAn overview of the structure, content, and practical requirements of \nAI Governance (policies, controls, roles/RACI, audit trail).\n\n-\n\nA high level overview of EU AI Act’s key elements (scope, risk \nclasses, obligations) and the most relevant GDPR touchpoints for AI.\n\n-\n\nKnowledge of how to perform a quick baseline of current practice and \nidentify priority gaps.\n\n-\n\nAn understanding of risk and controls at a pragmatic level (model and \ndata risks, necessary practices for evaluation and monitoring).\n\n-\n\nA realistic implementation roadmap with owners, milestones, and \nsuccess criteria.\n\n-\n\nA view of “what it looks like in real life.”\n\n\nThe course is aimed at:\n\n-\n\nCompliance, Risk, Legal, Governance, IT, and DPO profiles who do not \nwork with AI daily but need to make AI governance concrete.\n\n-\n\nPrivate-sector companies across industries.\n\n***Prerequisites*\n\n-\n\nNo specific AI prerequisites.\n\n-\n\nAdvantageous: basic knowledge of corporate governance and regulation.\n\n\n***Course Lecturers*\n\nREGISTER HERE \n(https://learn.dnv.com/lmt/clmsCourse.prCourseDetails?site=dnvglext&in_rcoId=66555309&in_from_module=CLMSBROWSEV2.PRMAIN&in_region=dk&in_language_identifier=da)\n\n \n\n*Björn Preuss, VP Product & AI Governance Advisory, **2021.AI* \n(http://2021.AI)\n\nBjörn supports medium-sized and large companies with their AI \nambition—from strategy and governance to development, operations, and \nscaling. He is an Assistant Professor for Risk management and Finance \nat CBS and a trusted advisor on the subject. Holding a Ph.D. in \nquantitative economics, he combines a theoretical and practical view \non AI risk management. In this practical course he aims to turn his \nadvice into clear control points —without slowing AI innovation. His \nteaching is research grounded, with examples from practice to give you \na clear guidance on what to do next to be ready for the future.\n\n \n\n*Charlotte Bagger Tranbjerg, CEO & Founder, Lex Futura*\n\nCharlotte is one of the Nordics’ most experienced advisors in tech and \ndata compliance. With a PhD in Law (2006), many years as advisor and \npartner at Bech-Bruun, and recognition as _Women in Data 2022_, she \ncombines deep legal expertise with strong technology understanding. \nShe makes complex rules usable across the organisation and links \nbusiness, risk management, and law into actionable, compliant \nsolutions. Her teaching is clear, down-to-earth, and action-oriented.\n\n*Dates and venue*\n\n-\n\n*Date & venue:* 9.00 - 17:00 CEST\n\n-\n\n*Duration:* 8 hours in-person, followed by online follow-up & Q&A \napprox. *14 days* after the course\n\n-\n\n*Price:* 5.900 DKK excl VAT\n\n-\n\n*Catering:* Included\n\n-\n\n*Cancellation/no-show:* [TBD by DNV]\n\n-\n\n*Participant requirements:* (e.g., laptop; optional access to internal \npolicies for reflection; NDA if relevant) *[TBD by DNV]*\n\n-\n\n*Certificate/CPD:* [TBD by DNV]\n\n\n_Disclaimer:_ This course is for educational purposes and does not \nconstitute legal advice. Content may be updated in line with new or \namended regulations and guidance. X-ALT-DESC;FMTTYPE=text/html:

Physical Course: Getting AI Governance right

Does your company work with AI—or plan to—and are you unsure how to turn AI Governance into concrete practice? This foundational course gives you a clear, hands-on starting point. In short: if you want to document control of AI in line with AI regulation and internal policies, you need clear roles, controls, and processes that work in day-to-day operations. This course shows you how.

AI Governance helps you to run your AI responsible, compliant, and effective in your organisation. The goal is to make requirements tangible: establish clear accountability, right-size controls to risk, and create the necessary documentation needed for later audits. When governance is implemented correctly, leadership and stakeholders gain confidence that you can deliver AI solutions that meet internal policies, regulatory expectations, risk-management requirements.

This course focuses on the practical application of AI Governance and gives you the overview and insight needed to document your governance effort, identify gaps, and understand how governance (policies, controls, roles/RACI, etc.) are implemented in practice—illustrated with concrete examples.

Course objectives

After the course, participants will have:

The course is aimed at:

Prerequisites

Course Lecturers

REGISTER HERE

 

Björn Preuss, VP Product & AI Governance Advisory, 2021.AI

Björn supports medium-sized and large companies with their AI ambition—from strategy and governance to development, operations, and scaling.  He is an Assistant Professor for Risk management and Finance at CBS and a trusted advisor on the subject. Holding a Ph.D. in quantitative economics, he combines a theoretical and practical view on AI risk management.  In this practical course he aims to turn his advice into clear control points —without slowing AI innovation. His teaching is research grounded, with examples from practice to give you a clear guidance on what to do next to be ready for the future.

 

Charlotte Bagger Tranbjerg, CEO & Founder, Lex Futura

Charlotte is one of the Nordics’ most experienced advisors in tech and data compliance. With a PhD in Law (2006), many years as advisor and partner at Bech-Bruun, and recognition as Women in Data 2022, she combines deep legal expertise with strong technology understanding. She makes complex rules usable across the organisation and links business, risk management, and law into actionable, compliant solutions. Her teaching is clear, down-to-earth, and action-oriented.

Dates and venue

Disclaimer: This course is for educational purposes and does not constitute legal advice. Content may be updated in line with new or amended regulations and guidance.

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