photo of Sebastian Hallensleben

Sebastian Hallensleben

Head of Digitalisation and AI - VDE Association for Electrical, Electronic & Information Technologies

Working groupExpert Group on AI Risk & Accountability
Working groupExpert Group on AI Incidents
Working groupExpert Group on AI Futures
Stakeholder TypeTechnical community
ONE AI Member

Dr Sebastian Hallensleben is the Chair of CEN-CENELEC JTC 21 where European AI standards to underpin EU regulation are being developed, a member of the Expert Advisory Board of the EU StandICT programme and Chair of the Trusted Information working group. He co-chairs the AI Risk & Accountability work in OECD ONE.AI and has roles in AI committees at the Council of Europe and UNESCO. Sebastian Hallensleben heads Digital Trust and Artificial Intelligence at VDE Association for Electrical, Electronic and Information Technologies where he is responsible for new product and service development as well as for giving advice and developing frameworks for the German parliament and several federal ministries as well as the European Commission. He focusses in particular on AI ethics, on handling the impact of generative AI, building privacy-preserving trust infrastructures (including a Moonshot initiative at KI Park) as well as characterising AI quality with the recent launch of the AI Quality & Testing Hub and the international AI Quality Summit. –  Earlier, Sebastian Hallensleben worked on dialog facilitation between academia, industry and policymaking (e.g. in the context of federal research foresight) and in international infrastructure project development for waste, energy and drinking water. He holds a PhD in physics and began his professional life in IT development and solutions architecture in the financial and telecoms sectors.

Sebastian Hallensleben's videos

The OECD Al Systems Classification Framework

The OECD Al Systems Classification Framework

February 6, 2021clock90 mins

The OECD’s Network of Experts on AI developed a user-friendly framework to classify AI systems. It provides a structure for assessing and classifying AI systems according to their impact on public policy following the OECD AI Principles. This session discusses the four dimensions of the draft OECD AI Systems Classification Framework, illustrates the usefulness of the framework using concrete AI systems as examples, and seeks feedback and comments to support finalisation of the framework. Aclassification framework to understand the labour market impact will also be introduced.

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