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Open AI Webinar: From research to automated decision tools - A legal road crossing
In this webinar, we will explore legal challenges that may arise when moving from research to deployment. The talk will be given by Mathias Hauglid from the University of Tromsø.

Abstract:
In my talk I will address a selection of legal challenges that developers and users of algorithmic decision systems could face at the crossroads of research and deployment, particularly when personal data has been used as training data:

- Securing a legal basis for the continued use of existing training data after deployment
- Respecting the rights of the data subjects included in the training data
- Complying with equal treatment requirements (which were not necessarily contemplated during training)

Finally, I will illustrate the importance of interdisciplinary efforts between the legal community and the ML community by giving a few examples of research topics that are currently being pursued in both camps.

About the speaker:
Mathias is a doctoral research fellow at the Faculty of Law in Tromsø, where he is working on his PhD thesis concerning machine learning in the health sector. He is part of a cross-disciplinary thematic work group called UiT Center for Data Driven Health, which is lead by UiT Machine Learning Group. His research project particularly focuses on the legal protection of minority patient groups from the risk of reinforcement of health inequalities as a consequence of ML-driven decision making.

Mathias also has experience practicing the law and he is currently on a leave from his position as a lawyer at the technology department of Haavind (law firm) in Oslo.

Nov 20, 2020 01:00 PM in Oslo

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