AI makes the call.
Who answers for it?
When a tool gets something wrong, can we hand responsibility to the model? I examine human oversight, decision rights and accountability through concrete examples.
- Central question
- How should authority and responsibility be shared when AI is used?
- For
- Leaders, legal professionals and mixed conference audiences
- Focus
- Questions to ask about authority, oversight and responsibility.
Short description for your event programme
When an AI recommendation becomes a human decision, who remains responsible? Nesibe Kırış Can connects law and sociology with her experience in organisational governance to examine oversight, authority and accountability. Concrete examples give participants questions they can bring back to their own use of AI.
Rules on paper.
AI at work.
I explain what AI regulation and standards mean for everyday work, from choosing a tool to setting data boundaries and approval processes.
- Central question
- What changes in daily work when an AI rule takes effect?
- For
- Management, legal, compliance and policy teams
- Focus
- A framework for examining regulation alongside actual use cases.
Short description for your event programme
Are AI rules only a matter for legal teams? Nesibe Kırış Can examines their implications for tool selection, data use and approval processes. Connecting policy texts with actual use cases, this talk gives managers and teams a practical framework for assessing what regulation means in their work.
Who gains from AI?
Who bears the cost?
Work, digital rights, bias and power. I examine the social effects of AI beyond productivity claims, drawing on law, sociology and policy research.
- Central question
- How are the benefits and risks of AI distributed?
- For
- Communities, professional groups and general audiences
- Focus
- A way to question AI claims alongside their social consequences.
Short description for your event programme
Productivity dominates many conversations about AI. Where do digital rights, work and power fit? Drawing on law and sociology, Nesibe Kırış Can examines who benefits, who is affected and which consequences are overlooked. The talk gives audiences a way to question technology claims alongside their social effects.
AI at work:
from trials to everyday use.
Giving teams access to an AI tool does not ensure they can use it well. I examine suitable use cases, the skills and support teams need, responsible use conditions and ways to measure results.
- Central question
- How can teams use AI effectively and responsibly in their daily work?
- For
- Executives, team leaders, HR and organisational development teams
- Focus
- Use priorities, team skills, human oversight and measurable results.
Short description for your event programme
Nesibe Kırış Can examines AI adoption from tool selection to everyday team practices. Through concrete examples, she discusses where to start, the skills and support employees need, how to establish human oversight and how to assess results.
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