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المحتوى المقدم من Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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'Synthetic Data, Data Protection and Intellectual Property': CIPIL Evening Seminar (audio)

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Manage episode 462481308 series 2681418
المحتوى المقدم من Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.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

510 حلقات

Artwork
iconمشاركة
 
Manage episode 462481308 series 2681418
المحتوى المقدم من Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.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

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