Conference: Text and Data Mining and Artificial Intelligence

Program 

Speakers

Dr. Branka Marušić is a Stockholm Fellow at Oxford University and Christ Church. She is a Croatian qualified lawyer with diverse professional experience working as a practising lawyer, academic, and legal consultant in projects involving the harmonisation and codification of laws in the EU. Her primary work interest is the harmonisation of laws in the EU for which she has participated in over 40 projects for the EU Commission. In her academic career, she has used this work experience to observe the harmonisation of intellectual property rights in the EU for which she has written a monograph (doctoral thesis in copyright) and more than 30 various scientific journal contributions.

Felix Steffek is Professor of Law at the University of Cambridge and Senior Member of Newnham College. At the Faculty, he serves as Director of the Centre for Corporate and Commercial Law (3CL) and Director of International Strategy and Partnerships. He has been awarded a JM Keynes Fellowship in Financial Economics by the University of Cambridge. He is Global Distinguished Professor of Law at the University of Notre Dame. His research interests cover corporate finance law, insolvency law, commercial law, dispute resolution, and artificial intelligence.

Johan Lindholm is Professor of Law at Umeå University. He is passionate about emprical legal studies and has spent more than a decade using computational methods to enhance our understanding of the law.

Jutta Haider is Professor at the Swedish School of Library and Information Science (SSLIS), University of Borås, and affiliate professor at Lund University (Sweden). At SSLIS she is head of the research group Information Practices and Digital Cultures. She also leads the research area Information Cultures, Data and Technology in Environmental Communication within the research consortium Mistra-EC. She has published widely on the datafication of knowledge production and environmental concerns, information infrastructures in everyday life and the associated challenges for information control and media and information literacy.

Dr Kacper Szkalej is Researcher in intellectual property and technology law at the Institute for Information Law (IViR), University of Amsterdam. Kacper’s academic expertise centres on legal protection and exploitation of information. Concentrating his activity primarily on copyright law, Kacper’s research ethos and interests are marked by a cross-disciplinary approach spanning the realm of law, technological regulation and contractual practices, and cover a wide array of themes such as protection and access to content, remuneration schemes, public interest exploitation, open access and research, copyright enforcement and human rights, platform regulation, automation of decision-making and generative AI.

Karin Grönvall is National Librarian of Sweden. As such, she is responsible for the development of their services and access to the collections. The organisation also has a task from the Swedish government to promote and coordinate the work for open access to scholarly publications. The collections grow daily through digital and physical deliveries and they digitize as much as possible of the older collections. To gain access to this national research infrastructure is crucial for researchers, especially in the humanities and social sciences. They have a well-established data lab that collaborate with researchers for access to the collections as data to carry out TDM and to develop AI-models. Research methods develop rapidly in line with the digital possbilities and require them to continuously relate to and interpret the Copyright Act to be able to provide the services needed.

Silvia A. Carretta is currently acting as Chief Legal Officer of Women in AI, a global do-tank working towards gender-inclusive AI. As a scholar-practitioner, she is also pursuing a joint doctoral degree in AI & law at Uppsala University and at the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society Graduate School (Sweden). Moreover, Silvia is a visiting fellow at the Digital Life Initiative at Cornell Tech (USA) and is affiliated with the Information Law Institute at NYU (USA). Her research involves the study of artificial intelligence under the lens of private law, in particular the platform governance and the impact of content moderation on users’ rights. Silvia regularly lectures in advanced courses and has several publications around her research interests which include intellectual property law, law and technology, and private law issues connected to upcoming AI shifts in society.

Teresa Nobre is the Legal Director of COMMUNIA, a non-profit association based in Brussels which advocates for policies that expand the public domain and improve access to and re-use of culture and knowledge. Teresa was deeply involved in the EU legislative process leading to the adoption of the new Copyright Directive, and coordinated COMMUNIA’s advocacy efforts towards the implementation of the Directive across the Union. In addition to supporting the association’s public interest advocacy in Europe, she also represents COMMUNIA at the World Intellectual Property Organization. Teresa is in charge of the association’s strategic litigation efforts and, before joining COMMUNIA, she was a copyright lawyer and Creative Commons Portugal legal lead. Teresa holds a law degree from the University of Lisbon and an LL.M. in Intellectual Property Law from the Munich Intellectual Property Law Centre.

Wilhelm Widmark is the Library Director and Senior Adviser to the President on Open Science at Stockholm University. He is also the vice chair of the Bibsam consortia in Sweden. During negotiations with publishers, they try to have paragraphs in the contracts that hinder the use of TDM and AI on the licensed material. It is important that the consortias don´t sign away the researchers rights to work with the material. Widmark was active in the Liber Board when they advocated for a more flexible copyright system that would allow text and data mining to be used at its full potential.