DATE
Wednesday 22 May 2024
SLOT
16.00
VENUE
Orangerie
ORGANISED BY
EDPS (EU)
MODERATOR
FACILITATOR

Description

For proprietary AI systems, such as the widely known large language models, training methods and the data used are totally intransparent. Cases have been discussed where personal data was used in the training and could be recovered from the working models. Open source AI tools offer more transparency on some of the development issues, but will this help to respect fundamental rights such as data protection?

  • How can researchers meet the relevant conditions, in particular concerning the protection of personal data?
  • Which existing procedures, tools, infrastructures can be useful in this regard?
  • Which kinds of expertise will be needed? How can it be included?
  • How can legal and technical experts work effectively together to prepare successful application?

Moderator

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