Drails - Ulla-Maija Mylly - Trade secrets, access to information & AI Act

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Drails - Ulla-Maija Mylly - Trade secrets, access to information & AI Act

Ulla-Maija Mylly will discuss the 'interface between trade secret and access to information in the context of Artificial Intelligence Act'

Par DRAILS

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  • 1 heures
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On the 9th of February (1-2 pm) we will have the pleasure of welcoming LL.D. Ulla-Maija Mylly as a guest in our DRAILS workshop series. She will discuss the “Interface between trade secret and access to information in the context of Artificial Intelligence Act”. As always, the format of the workshop is open and anyone in attendance will be free to intervene during the discussion.

LL.D. Ulla-Maija Mylly joined Hanken School of Economics in May 2022 when she was appointed as Associate professor in Commercial Law. She is currently serving Hanken as Academy Research Fellow and working on her Academy of Finland funded research project on trade secrets and data-driven economy. She was a TIAS postdoctoral collegium researcher at the Turku Institute of Advanced Studies 2017-2019. She did her first LL.M. at University of Turku and the second at Kyushu University, Japan (International Trade and Business Law). Ulla-Maija has earlier worked among others in various research positions at the Turku School of Economics, University of Turku faculty of law, and as a practicing lawyer. She is trained on the bench. August 2017 – July 2018 she was a Visiting Research Fellow at Oxford Intellectual Property Research Center. For September – December 2022 she was a Visiting Researcher at King’s College London, Dickson Poon School of Law.

Ulla-Maija’s research interest covers copyright, patent law and trade secrets, and she has published research related to the fundamental rights as well. Mylly’s research interest lies on the underlying justifications for the regimes in question and potential differences these produce for interpretations. During the Academy of Finland funding period (2021-2026) Mylly will dissect the ambivalent nature of European trade secret protection between the intellectual property and unfair competition paradigms from the perspective of data-driven economy. The research will analyze ways to interpret the provisions of the Trade Secrets Directive in a manner that would be most suitable for the data-driven economy and to the needs of competition and innovation.