Responsible, secure, practical and human-centred AI

Sensible AI track

Using AI is easy. Applying it sensibly is the hard part. This track is for people who care what the technology does to the humans on the other side of it: bias and inclusion, explainability and trust, the governance around it, and the organisational change it takes to make any of that stick.

📅 November 13, 2026 📍 Groningen city center
About the track

Not just using AI. Using it sensibly.

This track is aimed at leaders, policymakers, ethicists, designers, implementers, educators and organisations working on responsible adoption: the people who have to weigh what a system does well against what it does to the people it touches.

The speakers are experts and practitioners who connect ethics, governance and human factors to practical implementation. Not principles in the abstract, but what they changed about a design, a dataset, a process or a decision, and whether it held up in the real world.

Seven talks, or a deliberate mix of talks and panels where the discussion earns its place.

Responsibility Governance Bias Inclusion Explainability Organisational change Policy Adoption
Track at a glance
  • Theme Responsible, secure, practical and human-centred Artificial Intelligence
  • For Leaders, policymakers, ethicists, designers, implementers, educators and organisations working on responsible adoption
  • Format Seven talks, or a deliberate mix of talks and panels
  • Date Friday November 13, 2026 · Groningen
  • Track leads Frank Drijfhout, Yvonne Kooi, Michele Murgia and Bart Beima (AI Hub Noord-Nederland)
Tickets

Join 400+ professionals
at aiGrunn 2026

Call for proposals

Do you connect the ethics to the practice?

We are looking for experts and practitioners who can tie ethics, governance and human factors to something that actually shipped: a design choice, a dataset, a policy, a way of working.

The uncomfortable trade-offs are the interesting part. Submit your proposal for aiGrunn 2026 and join a lineup of speakers from across the Netherlands and beyond.

Submit your talk →
What we are looking for
  • Responsibility, bias, inclusion, explainability, governance, policy or adoption, grounded in practice
  • Concrete over abstract: the trade-off you faced, what you changed, and whether it held up
  • No sales pitches. All talks must deliver genuine learning value
  • Slots: 30 minutes including Q&A
  • English submissions only
  • All talks are recorded and published on YouTube
Blast from the past

Ethics, trust and people,
from previous editions.

A selection of talks on safety, bias, explainability and human-centred AI from aiGrunn 2025, 2024 and 2023. Looking for the deep technical ones? They are on the tech track page.

2025 5 talks
2024 5 talks
2023 3 talks