AI i Praksis #3 AI-etik: Bias, retfærdighed og hvem der bliver glemt

Hvis et AI-system træffer en beslutning, der skader nogen, hvem er så ansvarlig?

I session 3 af Fendous' AI-webinar serie tager vi fat i de svære spørgsmål om: bias, retfærdighed, transparens og ansvarlighed. Ikke for at skræmme, men for at klæde dig på til at træffe bedre beslutninger som selvstændig, som iværksætter og som borger.

Vi dykker ned i:
• Bias i AI — hvor opstår det, hvem rammes, og hvorfor er det svært at rette?
• Din ret til forklaring — "AI' en besluttede det" er aldrig et acceptabelt svar
• Ansvars huller: Hvem hæfter, når AI går galt udvikler, bruger eller deployer?
• Globale systemer i lokale kontekster den kulturelle mismatch-problematik

Arrangementet indeholder en gruppe baseret scenarieøvelse med virkelige etiske dilemmaer ingen rigtige svar, men bedre tænkning.

⏱ Program:
17:00 — Case: En AI der tog fejl - hvad skete der?
17:15  —  Oplæg: Forstå AI-bias fra bunden
17:45 — Diskussion: Hvem virker AI for og hvem svigter den?
18:10 — Oplæg: Ansvars huller i AI
18:35 — Scenarieøvelse: Etiske dilemmaer i grupper
18:45 — Pause + refleksions aktivitet (30 min)
19:00 — Workshop: Etisk tjekliste til din fremtidige forretning
19:20 — Opsummering og preview af session 3
19:30 — Afslutning

Arrangør: Arunima Martinsen fra Fendous Sustainable Solutions - AI Consulting & Strategy, Aalborg

If an AI system makes a decision that harms someone, who is responsible?

In Session 3 of Fendous’ AI webinar series, we tackle the tough questions on: bias, fairness, transparency, and accountability. Not to scare you, but to equip you to make better decision as a self-employed person, as an entrepreneur, and as a citizen.

We’ll dive into:

• Bias in AI where does it arise, who is affected, and why is it so hard to fix?

• Your right to an explanation-“The AI decided” is never an acceptable answer

• Gaps in accountability: Who is liable when AI goes wrong-the developer, the user, or the deployer?

• Global systems in local contexts the problem of cultural mismatch

The event includes a group-based scenario exercise featuring real-world ethical dilemmas no right answers, but better thinking.

⏱ Program:

17:00 PM —Case Study: An AI that made a mistake - what happened?

17:15 PM — Presentation: Understanding AI bias from the ground up

17:45 PM — Discussion: Who does AI serve and who does it let down?

18:10 PM — Presentation: Accountability gaps in AI

18:35 PM — Scenario exercise: Ethical dilemmas in groups

18:45 PM — Break + reflection activity (30 min)

19:00 PM — Workshop: An ethical checklist for your future business

19:20 PM — Summary and preview of Session 3

19:30 PM — Closing

Organizer: Arunima Martinsen from Fendous Sustainable Solutions - AI Consulting & Strategy, Aalborg

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