1:1 with Andres Guadamuz
In this podcast Andres Guadamuz (University of Sussex) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view
📌Episode Highlights
⏲️[00:00] Intro
⏲️[01:24] The TL;DR Perspective
⏲️[10:34] Q1 - The Deepdive: AI Decrypted | You look at the inputs and outputs of AI. For the inputs, the key question is: does mining data infringe copyright? For the outputs, the main question is: can derivative works infringe copyright and what role do exceptions play?
⏲️[20:28] Q2 - The Deepdive: AI Decrypted | In your blog entitled “Will we ever be able to detect AI usage”, you wonder if that is really the right question to ask and suggest alternatives. What are your key thoughts?
⏲️[23:53] Outro
🗣️ To think of copyright like any granular, tiny speck of information that went into the training of an input means that you own that [AI] output. That's ridiculous to me. That means there are billions of authors for every single ChatGPT or entry.
🗣️ What [AI providers are] doing is a temporary copy or transient copy. (...) They don't need them after the model is trained. (...) What's happening is they make a copy and then extract information.
📌Episode Highlights
⏲️[00:00] Intro
⏲️[01:24] The TL;DR Perspective
⏲️[10:34] Q1 - The Deepdive: AI Decrypted | You look at the inputs and outputs of AI. For the inputs, the key question is: does mining data infringe copyright? For the outputs, the main question is: can derivative works infringe copyright and what role do exceptions play?
⏲️[20:28] Q2 - The Deepdive: AI Decrypted | In your blog entitled “Will we ever be able to detect AI usage”, you wonder if that is really the right question to ask and suggest alternatives. What are your key thoughts?
⏲️[23:53] Outro
🗣️ To think of copyright like any granular, tiny speck of information that went into the training of an input means that you own that [AI] output. That's ridiculous to me. That means there are billions of authors for every single ChatGPT or entry.
🗣️ What [AI providers are] doing is a temporary copy or transient copy. (...) They don't need them after the model is trained. (...) What's happening is they make a copy and then extract information.
🗣️ Some of these actions [by AI providers] could fall under existing exceptions and limitations. (...) They make a copy (...) that allows the generativity to work.
🗣️ AI is actually making it easier for small-time creators to create quality content. (...) What we're starting to see: it’s enabling more creators to do stuff.
📌About Our Guest
🎙️ Andres Guadamuz | Reader in Intellectual Property Law, University of Sussex
𝕏 https://twitter.com/technollama
🌐 Openness, AI, and the Changing Creative Landscape (TechnoLlama blog)
🌐 Corridor Crew’s Anime Rock, Paper, Scissors
🌐 A Scanner Darkly: Copyright Liability and Exceptions in Artificial Intelligence Inputs and Outputs (SSRN)
🌐 Will We Ever Be Able to Detect AI Usage? (TechnoLlama blog)
🌐 Asking Whether AI Outputs Are Art Is Asking the Wrong Question (TechnoLlama blog)
🌐 TechnoLlama blog
🌐 Dr Andres Guadamuz
Dr Andres Guadamuz (aka technollama) is a Reader in Intellectual Property Law at the University of Sussex and the Editor in Chief of the Journal of World Intellectual Property. His main research areas are artificial intelligence and copyright, open licensing, cryptocurrencies, and smart contracts. He has written two books and over 40 articles and book chapters, and also blogs regularly about different technology regulation topics, notably on his TechnoLlama blog.
🗣️ AI is actually making it easier for small-time creators to create quality content. (...) What we're starting to see: it’s enabling more creators to do stuff.
📌About Our Guest
🎙️ Andres Guadamuz | Reader in Intellectual Property Law, University of Sussex
𝕏 https://twitter.com/technollama
🌐 Openness, AI, and the Changing Creative Landscape (TechnoLlama blog)
🌐 Corridor Crew’s Anime Rock, Paper, Scissors
🌐 A Scanner Darkly: Copyright Liability and Exceptions in Artificial Intelligence Inputs and Outputs (SSRN)
🌐 Will We Ever Be Able to Detect AI Usage? (TechnoLlama blog)
🌐 Asking Whether AI Outputs Are Art Is Asking the Wrong Question (TechnoLlama blog)
🌐 TechnoLlama blog
🌐 Dr Andres Guadamuz
Dr Andres Guadamuz (aka technollama) is a Reader in Intellectual Property Law at the University of Sussex and the Editor in Chief of the Journal of World Intellectual Property. His main research areas are artificial intelligence and copyright, open licensing, cryptocurrencies, and smart contracts. He has written two books and over 40 articles and book chapters, and also blogs regularly about different technology regulation topics, notably on his TechnoLlama blog.
