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1:1 with Teresa Nobre

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Manage episode 378099292 series 3480798
Indhold leveret af information labs and Information labs. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af information labs and Information labs eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this podcast Teresa Nobre (COMMUNIA) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view

📌Episode Highlights
⏲️[00:00] Intro
⏲️[01:10] The TL;DR Perspective
⏲️[08:11] Q1 - The Deepdive: AI Decrypted | COMMUNIA’s Policy Paper #15 states that: “The use of copyrighted works as part of the training data is exactly the type of use that was foreseen when the TDM exception was drafted and this has recently been confirmed by the EC in response to a parliamentary question”. Can you clarify that?
⏲️[11:04] Q2 - The Deepdive: AI Decrypted | COMMUNIA clearly favours transparency when it comes to AI models, but also points out that when it comes to copyrighted material: “Policy makers should not forget that the copyright ecosystem itself suffers from a lack of transparency”. What do you mean by that?
⏲️[16:41] Q3 - The Deepdive: AI Decrypted | COMMUNIA sees a need to operationalise the TDM opt-out mechanism. You recommend the EC should play an active role to encourage a fair and balanced approach to opt-out and transparency through a broad stakeholder dialogue. What could that entail?
⏲️[21:39] Outro

🗣️ Everything would be easier if there was more transparency across the copyright ecosystem itself. (...) There's no place that you can consult that will tell you who are the owners, who are the creators, the title of the work.

🗣️ Machine learning developers (...) will not be able to provide this [copyright] information, because this information is simply not publicly available for the vast majority of works.

🗣️ To demonstrate compliance with copyright law, machine learning developers only need to show that they have respected machine-readable rights reservations.

🗣️ Our recommendation: European Commission, do something that's more towards involving everyone in the solution to the problem.

📌About Our Guest
🎙️ Teresa Nobre | Legal Director, COMMUNIA

𝕏 https://twitter.com/tenobre
🌐 The AI Act and the quest for transparency (COMMUNIA blog post)
🌐 Policy Paper #15 on Using Copyrighted Works for Teaching the Machine (COMMUNIA)
🌐 Answer given by Commissioner Thierry Breton on behalf of the European Commission to the Parliamentary Question by MEP Emmanuel Maurel (The Left, France)
🌐 Teresa Nobre

Teresa Nobre is the Legal Director of COMMUNIA, an international association that advocates for policies that expand the Public Domain and increase access to and reuse of culture and knowledge. She is an attorney-at-law and is involved in policy work both at the EU level and at the international level, representing COMMUNIA at the World Intellectual Property Organization.

  continue reading

16 episoder

Artwork
iconDel
 
Manage episode 378099292 series 3480798
Indhold leveret af information labs and Information labs. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af information labs and Information labs eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this podcast Teresa Nobre (COMMUNIA) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view

📌Episode Highlights
⏲️[00:00] Intro
⏲️[01:10] The TL;DR Perspective
⏲️[08:11] Q1 - The Deepdive: AI Decrypted | COMMUNIA’s Policy Paper #15 states that: “The use of copyrighted works as part of the training data is exactly the type of use that was foreseen when the TDM exception was drafted and this has recently been confirmed by the EC in response to a parliamentary question”. Can you clarify that?
⏲️[11:04] Q2 - The Deepdive: AI Decrypted | COMMUNIA clearly favours transparency when it comes to AI models, but also points out that when it comes to copyrighted material: “Policy makers should not forget that the copyright ecosystem itself suffers from a lack of transparency”. What do you mean by that?
⏲️[16:41] Q3 - The Deepdive: AI Decrypted | COMMUNIA sees a need to operationalise the TDM opt-out mechanism. You recommend the EC should play an active role to encourage a fair and balanced approach to opt-out and transparency through a broad stakeholder dialogue. What could that entail?
⏲️[21:39] Outro

🗣️ Everything would be easier if there was more transparency across the copyright ecosystem itself. (...) There's no place that you can consult that will tell you who are the owners, who are the creators, the title of the work.

🗣️ Machine learning developers (...) will not be able to provide this [copyright] information, because this information is simply not publicly available for the vast majority of works.

🗣️ To demonstrate compliance with copyright law, machine learning developers only need to show that they have respected machine-readable rights reservations.

🗣️ Our recommendation: European Commission, do something that's more towards involving everyone in the solution to the problem.

📌About Our Guest
🎙️ Teresa Nobre | Legal Director, COMMUNIA

𝕏 https://twitter.com/tenobre
🌐 The AI Act and the quest for transparency (COMMUNIA blog post)
🌐 Policy Paper #15 on Using Copyrighted Works for Teaching the Machine (COMMUNIA)
🌐 Answer given by Commissioner Thierry Breton on behalf of the European Commission to the Parliamentary Question by MEP Emmanuel Maurel (The Left, France)
🌐 Teresa Nobre

Teresa Nobre is the Legal Director of COMMUNIA, an international association that advocates for policies that expand the Public Domain and increase access to and reuse of culture and knowledge. She is an attorney-at-law and is involved in policy work both at the EU level and at the international level, representing COMMUNIA at the World Intellectual Property Organization.

  continue reading

16 episoder

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