AI, ethics & governance: from principles to practice

· 1 min read

Notes from the Rockstars webinar AI, Ethiek & Governance: van principes naar praktijk, with Tekla de Veer (principal consultant data & AI at Rockstars) and AI ethicist Joris Krijger.

Ethics: why do we make certain choices, what do we think, and where does that come from?

“There are no solutions, there are only trade-offs.”

Dilemmas: do the benefits outweigh the downsides? Do customers actually want to talk to a bot? How do employees feel about their work?

The human in the loop often sits at the end of the loop, not in the loop.

And if something goes wrong, is that human the scapegoat? Who… is responsible anyway?

A holistic approach to ethical AI maturity

tooling policy developmentprocesses governance awareness & culture communication & training holistic approachto ethical AImaturity

Key takeaways

  1. It’s an organizational responsibility, not just a technical or ethical specialty.
  2. Turn principles into operating practices.
  3. It’s about conscious choices, not about finding the right answers.

Terms

  • Explainable AI (XAI)
  • Privacy by design
  • Differential privacy: adding a bit of noise to the results, so the output doesn’t change much when a single person is added to the database.