Dr. Rita Matulionytė
Started working at the Institute – since 2012-06-11.
Intellectual property, technology law.
International scientific profiles:
Principal publications (from 2018):
Matulionytė, R., Abramovich, T. (2022), „AI Explainability and Trade Secrets”, R. Abbot (ed). Research Handbook on Artificial Intelligence and Intellectual Property, p. 404-421, Edward Elgar.
Matulionytė, R. (2022), “AI inventiveness and DABUS Saga”, Georg Nolte et all (eds), Gestaltung der Informationsordnung. Festschrift fur Thomas Dreier zum 65. Geburtstag, p. 233-249, Beck Verlag.
Matulionytė, R. (2019), „The Proposed EU Copyright Reform: A Case of Lithuania“, Mira Sundara Rajan (ed), The Cambridge Research Handbook on IP Law & Policy in Central & Eastern Europe, p.259-283, Cambridge University Press.
Matulionytė, R., Nolan, P., Magrabi, F., Beheshti, A. (2022), „Should AI Medical Devices be Explainable?”, International Journal of Law and Information Technology.
Matulionytė, R. (2022), „AI Inventor: Has the Federal Court of Australia Erred in its Decision in DABUS?”, Journal of Intellectual Property, Information Technology and E-Commerce - JIPITEC 1, 13(2).
Matulionytė, R., Hanif, A. (2022), „A Call for More Explainable AI in Law Enforcement“, IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW), p. 75-80.
Matulionytė, R., Lee, J. (2022), “Who should own AI-generated works: Lessons from the recent developments in patent law”, SCRIPTed – A Journal of Law, Technology and Society 5, 19(1).
Matulionytė, R., (2022), „Trade secrets and explainable AI: can the two be reconciled?”, European Intellectual Property Review 36, 44(1).
Marie-Elodie Ancel, Nicolas Binctin, Josef Drexl, Mireille van Eechoud, Jane C. Ginsburg, Toshiyuki Kono, Gyooho Lee, Rita Matulionytė, Edouard Treppoz, Dário Moura Vicente (2021), International Law Association’s Guidelines on Intellectual Property and Private International Law (“Kyoto Guidelines”), Applicable Law, 12, JIPITEC 44 para 1.
Abbott, R., Matulionytė, R., Nolan, P. (2021), “A Brief Analysis of DABUS, Artificial Intelligence, and the Future of Patent Law”, 125 IP Forum 10.
Matulionytė, R. (2021), „Australian copyright law impedes the development of Artificial Intelligence: What are the options?“, International Review for Intellectual Property and Competition Law-ICC, 52(4), p. 417-443.
Selvadurai, N., Matulionytė, R. (2020), „Reconsidering Creativity: Copyright Protection for Works Generated Using Artificial Intelligence“, Journal of Intellectual Property Law and Practice, 15(7), 536.
White, C., Matulionytė, R. (2020), „Artificial Intelligence Painting a Larger Picture on Copyright“, Australian Intellectual Property Review 30, 224.
Matulionytė, R. (2020), „Can Copyright be Tokenized?“, European Intellectual Property Review, 42(2) 102.
Matulionytė, R. (2019), „Copyright to Published Editions: A History of a Declining Right“, Monash Law Review, 45(1) 70.
Matulionytė, R. (2019), „Empowering Authors via Fairer Copyright Contract Law“, UNSW Law Journal, 42(2), p. 681-718.
Matulionytė, R. (2018), “Roadshow Films Pty Ltd v Telstra Corp Ltd and the Recent Development of Blocking Injunctions in Australia”, European Intellectual Property Review, 11(40), p. 750-753.
2022, Facial Recognition in the Modern State, 15 September 2022, online.
2021 – 2023, Government Use of Facial Recognition Technologies: Legal Challenges and Possible Solutions; Lithuanian Research Council; Investigators: Rita Matulionyte (Lead Investigator), Monika Zalnieriute (CI), Agne Limante (CI), Egle Kavoliunaite-Ragauskiene (CI).
2021 – 2022, Towards more transparent and explainable AI technologies in Healthcare, Macquarie University Research Accelerator Scheme Grant (AUD 47,000); Investigators: Rita Matulionyte (Lead Investigator), Farah Magrabi, Jyh-An Lee, Christoph Antons, Ryan Abbott.
2018 – 2019, Legal Regulation of Blockchain-based Innovations, Industry Partner Mexuz Grant, AUD 5,000.
2018 – 2019, Legal Regulation of Blockchain-based Innovations, Macquarie University Faculty of Business and Law, Industry Matching Grant, AUD 5,000.
Presentations at Conferences (from 2018):
2022, 20th Copyright Law and Practice Symposium, invited contribution to the panel discussion on “Authorship, AI and access post-Pandemic”, organized by Copyright Society of Australia, 20 October, 2022.
2022, “Do AI-enabled Medical Devices Need to be Explainable”, presentation at the International Workshop on Towards Transparent and Explainable AI in Healthcare, 1 September 2022.
2022, “Transparent and Explainable AI and Trade Secrets: Healthcare as a Case Study” , invited presentation at Chinese University of Hong Kong 14th IP Conference, Chinese university of Hong Kong, 29-30 July 2022, together with Prof Jyh-An Lee.
2022, “Transparent and Explainable AI in Healthcare: Do we Need it? Can We Have it?” an invited keynote presentation at conference ‘Opacity or Transparency’, Hamburg University, 22-23 July 2022.
2022, “Face recognition technologies in law enforcement: ethical and legal issues”, invited presentation in a conference „Practical aspects of video surveillance technologies in law enforcement”, organized by Lithuanian police, 19 May 2022, Klaipeda/online.
2022, “Trade Secrets v Ethical AI?”, presentation at Australian IP Academics Conference, 16, 18 Feb, 2022.
2021, „AI Explainability Principle v Trade Secrets”, presentation at a conference Money, power and AI: from automated banks to automated states, University of New South Wales, 29-30 Nov 2021.
2021, “Artificial Intelligence, Intellectual Property and a Developing World”, an invited presentation at the 4th Brazilian Institute for Competition and Innovation (IBCI) International Conference on Competition and Innovation, 9-11 November 2021 (online).
2021, “Intellectual Property Rights in the Age of Artificial Intelligence“, invited presentation at The Third International Conference on Law, Governance an Globalizations (ICLGG 2021), 4-5 November 2021, Indonesia.
2021, “A Call for More Explainable AI in Law Enforcement“, presentation at the 1st International Workshop on AI-enabled Policing and Law Enforcement IEEE EDOC Conference, October 25-26 2021, online, Australia.
2022, Visiting Researcher at Max Planck Institute for Innovation and Competition.
2021 – current, Member of the Management Board, Lead of Emerging Tech Workstream, Australian Society for Computers and Law.
2021 – current, Member of Australian Alliance on AI in Healthcare (AAAIH), Working Group on Safety, Quality and Ethics.
2022 – current, Research Centre on Applied Artificial Intelligence, Lead of a Research Stream on Explainable AI.
2020 – current, Member of Australian Copyright Law Society.
2017 – current, Member of Australian and New Zealand IP Law Academics Forum.
2012 – current, National Correspondent for Journal of Intellectual Property, Information Technology and e-Commerce (JIPITEC).
2011 – 2020, Coordinator of the Sub-committee on Applicable Law to Intellectual Property Infringements, Committee on Intellectual Property and Private International Law, International Law Association (ILA).
2021 – current, Computers and Law, member of the editorial board.
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