Responsible AI practice IWIB4AI session Needs review
Cross-sector conversation to build shared understanding of transparent, safe and human-centric AI.
Draft – legal and case law references not yet verified
This use case brings civil society, researchers, founders and industry professionals into informal, non-promotional dialogue about responsible AI. Its value lies in exchanging perspectives across sectors, rather than showcasing products or making sales pitches. The material describes community engagement, not a specific AI system or demonstrated technical outcome.
Responsible AI requires communication between people with different expertise, interests and influence. The challenge is to make that exchange inclusive and substantive without treating conversation alone as evidence that AI systems are transparent or safe.
Bringing civil society into conversation with researchers and commercial actors can broaden responsible-AI discussions beyond technical and business priorities. Participation should not be mistaken for representation of every affected community.
A non-promotional format can encourage candid discussion of AI capabilities, limitations and uncertainties. Participants should distinguish supported claims from aspirations about responsible AI.
Cross-sector exchange can help surface concerns about AI-related harms that individual organisations might overlook. Dialogue complements, but does not replace, system-specific testing and risk assessment.
| Framework | Provision | Relevance |
|---|---|---|
| EU AI Act | Art. 4 | Knowledge exchange may support AI literacy, but providers and deployers must still ensure appropriate literacy measures for staff and others operating AI systems on their behalf. |
| EU AI Act | Art. 95 | If community discussions inform voluntary codes of conduct, Article 95 provides a relevant route for stakeholder participation, without making informal dialogue itself a compliance mechanism. |
No sources linked to this use case yet.
IWIB4AI After Work – Nordic Tech Week Side Event
