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'Generative AI and Copyright Law': CIPIL Seminar

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Manage episode 455277225 series 3623930
Content provided by Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Speaker: Dr Alina Trapova, UCL

Biography: Dr Alina Trapova is a Lecturer in IP Law at University College London (UCL) and a Co-Director of the Institute for Brand and Innovation Law (IBIL) at UCL Laws. Prior to that, she worked at the University of Nottingham as an Assistant Professor in Law and Autonomous Systems and Bocconi University as a Research Assistant and Coordinator of the LLM in European Business and Social Law. Alina's research interests focus on copyright law and the implications of machine learning and artificial intelligence on the creative industries. Alina also has a keen interest in EU law, particularly in examining the EU's law-making powers in the field of IP law. She is also a keen blogger and acts as a Co-Managing Editor of the well-known Kluwer Copyright Blog.

Abstract: AI-generated output has been a topic for discussion in the past years in academic, institutional and governmental circles. The topic involves a copyright challenge on both the input and output stage: (i) is an AI system engaging in copyright infringing activities when it processes information for the purposes of training; and (ii) are the outputs of these systems protected with copyright law as original works? While answers to these questions have remained difficult to find, a new type of AI systems have come to light – generative AI. These typically engage in the so-called prompt engineering activity whereby images and music are generated as a result of written text instructions. The copyright law puzzle becomes even more difficult to put together. This seminar will paint the picture of these issues by referring to EU, UK, and US copyright law due to ongoing litigation in these jurisdictions, as well as legislative and policy initiatives.

For more information see: https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars

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161 episodes

Artwork
iconShare
 
Manage episode 455277225 series 3623930
Content provided by Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Speaker: Dr Alina Trapova, UCL

Biography: Dr Alina Trapova is a Lecturer in IP Law at University College London (UCL) and a Co-Director of the Institute for Brand and Innovation Law (IBIL) at UCL Laws. Prior to that, she worked at the University of Nottingham as an Assistant Professor in Law and Autonomous Systems and Bocconi University as a Research Assistant and Coordinator of the LLM in European Business and Social Law. Alina's research interests focus on copyright law and the implications of machine learning and artificial intelligence on the creative industries. Alina also has a keen interest in EU law, particularly in examining the EU's law-making powers in the field of IP law. She is also a keen blogger and acts as a Co-Managing Editor of the well-known Kluwer Copyright Blog.

Abstract: AI-generated output has been a topic for discussion in the past years in academic, institutional and governmental circles. The topic involves a copyright challenge on both the input and output stage: (i) is an AI system engaging in copyright infringing activities when it processes information for the purposes of training; and (ii) are the outputs of these systems protected with copyright law as original works? While answers to these questions have remained difficult to find, a new type of AI systems have come to light – generative AI. These typically engage in the so-called prompt engineering activity whereby images and music are generated as a result of written text instructions. The copyright law puzzle becomes even more difficult to put together. This seminar will paint the picture of these issues by referring to EU, UK, and US copyright law due to ongoing litigation in these jurisdictions, as well as legislative and policy initiatives.

For more information see: https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars

  continue reading

161 episodes

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