Ethics, Bias, Inclusion, and Diversity in AI: How Standardization Can Shape a Responsible Digital Future
Join this engaging evening event where experts explore and discuss the digital future of use and development of inclusive and responsible AI.
Time and place
20 November 2025, 6:30 PM – 8:30 PM
Danish Standards, Copenhagen Göteborg Plads 1, 2150 Nordhavn, 12th Floor
Registration is binding and there are limited seats.
Overview
During the European Standardization Plenary Meeting in Copenhagen, Danish Standards, CEN-CENELEC JTC 21 and Connected Women in AI invite you to an engaging evening discussion on ethics, bias, inclusion, and diversity in the development and use of Artificial Intelligence.
Join European experts to explore how standardization can support responsible and inclusive AI deployment in alignment with EU legislation, and how governance can foster innovation and trust in Europe’s digital future.
Target Group
All professionals who are interested in the use and development of inclusive and responsible AI.
Program
18:30 – Welcome by Danish Standards
18:40 – Presentation: Connected Women in AI
19:00 – Panel Discussion
Emilia Tantar – Chief AI Officer at the Luxembourg House of Cybersecurity, Head of Luxembourg’s delegation for AI standardization, and TEDx speaker. Expert in AI standardization and cybersecurity.
Grit Munk – Head of Digital Policy, IDA, Danish Association of Engineers. Responsible for AI, data ethics and cybersecurity. Focused on placing the human at the center of digital development and understanding the societal consequences of technology.
19:35 – Q&A
19:45 – 20:30 – Networking & Light Dinner
Contact
Maria de Freiesleben ChristoffersenKonsulent | Consultant Standardisering | Digital & Bæredygtighed
E: mch@ds.dk
T: 39 96 62 87
Anne Aaby HansenKonsulent | Consultant Standardisering | Digital & Bæredygtighed
E: aah@ds.dk
T: 39 96 62 57
Sign up for the event
20 November 2025, 6:30 PM – 8:30 PM. Registration is binding and there are limited seats.
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Organised in collaboration with Connected Women in AI