Artwork

Innhold levert av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

'Synthetic Data, Data Protection and Intellectual Property': CIPIL Evening Seminar (audio)

52:13
 
Del
 

Manage episode 455277217 series 3623930
Innhold levert av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Speaker: Dr Kalpana Tyagi, Assistant Professor, Maastricht University

Abstract: Data protection, privacy and copyright may be closely aligned, yet distinctly respond to the common element, that is data – comprising of personal as well as non-personal elements. While data may not be copyright-protected, works (at least in their current form) are copyright-protected. As the Generative AI tools become more advanced, data and copyright-protected works may cease to bear any direct resemblance to pre-existing works. This can be attributed to the rise of synthetic data. While synthetic data may facilitate compliance with the 2016 EU General Data Protection Regulation (GDPR), it also heralds notable challenges for the current IPR (particularly copyright) framework. This interplay between law and technology - in light of its inter- & intra-disciplinary complexity - remains under-explored in the literature. At the CIPIL seminar, Dr. Tyagi presents her research findings on this interplay between copyright (and other IPRs) as well as data protection and privacy in the context of synthetic data and Generative AI.

Biography: Kalpana Tyagi is Assistant Professor of Intellectual Property and Competition Law in the European and International Law Department, Maastricht University. She holds a multidisciplinary PhD (summa cum laude) from the Max Planck Institute for Innovation and Competition, Munich where she worked as Max Planck Fellow for Innovation and Competition until 2015. She also holds a bachelor’s degree in marketing and business strategy (I division) from College of Business Studies, New Delhi (2002), a bachelor’s degree in law (I division) from the Department of Law, New Delhi, an LLM degree in International Business Laws (I division) from Singapore and China (2009) and a specialized master in European Law and Economics (magna cum laude) from University of Hamburg, Bologna and Ghent (2012). Her main areas of interest relate to the interface of intellectual property rights and competition law, particularly in the context of digitalization.

For more information see:

https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars

This entry provides an audio source for iTunes.

  continue reading

146 episoder

Artwork
iconDel
 
Manage episode 455277217 series 3623930
Innhold levert av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Speaker: Dr Kalpana Tyagi, Assistant Professor, Maastricht University

Abstract: Data protection, privacy and copyright may be closely aligned, yet distinctly respond to the common element, that is data – comprising of personal as well as non-personal elements. While data may not be copyright-protected, works (at least in their current form) are copyright-protected. As the Generative AI tools become more advanced, data and copyright-protected works may cease to bear any direct resemblance to pre-existing works. This can be attributed to the rise of synthetic data. While synthetic data may facilitate compliance with the 2016 EU General Data Protection Regulation (GDPR), it also heralds notable challenges for the current IPR (particularly copyright) framework. This interplay between law and technology - in light of its inter- & intra-disciplinary complexity - remains under-explored in the literature. At the CIPIL seminar, Dr. Tyagi presents her research findings on this interplay between copyright (and other IPRs) as well as data protection and privacy in the context of synthetic data and Generative AI.

Biography: Kalpana Tyagi is Assistant Professor of Intellectual Property and Competition Law in the European and International Law Department, Maastricht University. She holds a multidisciplinary PhD (summa cum laude) from the Max Planck Institute for Innovation and Competition, Munich where she worked as Max Planck Fellow for Innovation and Competition until 2015. She also holds a bachelor’s degree in marketing and business strategy (I division) from College of Business Studies, New Delhi (2002), a bachelor’s degree in law (I division) from the Department of Law, New Delhi, an LLM degree in International Business Laws (I division) from Singapore and China (2009) and a specialized master in European Law and Economics (magna cum laude) from University of Hamburg, Bologna and Ghent (2012). Her main areas of interest relate to the interface of intellectual property rights and competition law, particularly in the context of digitalization.

For more information see:

https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars

This entry provides an audio source for iTunes.

  continue reading

146 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2025 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett
Lytt til dette showet mens du utforsker
Spill