A highly recommended read. One critical point the authors make: just because AI can create misinformation, doesn't mean it's spreading it - for now, it's still people doing it. The real danger is our over-reliance on AI-generated info. https://lnkd.in/g6QGmxDP
Zuzanna Warso’s Post
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Under the #AIAct, there is now a legal obligation (Art. 53 (1) d) to disclose information about content used to train GPAI models according to a template prepared by the AI Office. Over the next 12 months, we're going to see some heated debates about what this template should look like. Civil society and researchers should use this opportunity to push for more transparency. As a contribution to these discussions, together with Maximilian Gahntz and Paul Keller, and with input from a group of top experts, I wrote a paper describing the categories of rights and "legitimate interests" that GPAI training data transparency would serve (tl/dr - it's about more than copyright). The paper is accompanied by a blueprint for the upcoming template. Special thanks to Yacine Jernite, Shayne Longpre, Abeba Birhane, Stefan Baack, Kris Shrishak, Aviya Skowron, Alex Hanna, Ph.D. Mark Dingemanse, Frederike Kaltheuner, Claire Pershan, Michał “rysiek” Woźniak, Natali Helberger, João Pedro Quintais, Toni Lorente
🔎 Transparency of the data used to train AI models is a prerequisite for improving accountability in AI development and can strengthen people’s ability to exercise their fundamental rights. Under the AI Act, there is now a legal obligation to disclose information about content used to train GPAI models according to a template prepared by the AI Office. As the Office takes its final shape, we share a policy brief arguing for a robust transparency of content used to train GPAI models. This paper and the accompanying “Blueprint of the transparency template that the AI office is tasked to develop” was created in collaboration with Mozilla Foundation, drawing on input from experts. You can access the brief using the link in the comment 👇 #AI #GPAI #AIAct #DigitalRights
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I am absolutely stoked to welcome three exceptional new Open Future fellows—Mala Kumar, Samuel A. Moore, and Mila Samdub — and to support their research on digital commons and digital public infrastructure (or should I say: public digital infrastructure?). Keep an eye out for their remarkable work! And if you haven't already, subscribe to our newsletter to stay up to date with our work.
💌 Our June newsletter is out. ✦ meet our new fellows #PublicDigitalInfrastructure #AI ✦ check out two new reports #ResponsibleData #Copyright ✦ sign up for our events ✦ …and more Sign up or access the issue 👇 https://lnkd.in/dyk5K2hz
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Thrilled to be part of this project and the growing movement at the intersection of #digitalrights and #environmentaljustice
We are partnering with ECOS to implement a project granted by the Green Screen Catalyst Fund. Our research will focus on the environmental costs of Europe’s data centers and the need to reduce energy consumption in the digital economy 🏢 Given the climate crisis and the fact that ICTs contribute significantly to global carbon emissions and electricity consumption, it is crucial to ensure that ICTs are developed and used responsibly and resource-efficiently. The outcomes of our research can hopefully inform and drive future policy efforts. The link to the post about our project is available in the comment below 👇
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We are all familiar with the risk-based approach taken in the AI Act, but when it comes to environmental impacts, what the AIA really did was take a hope-based approach - the hope that AI systems will help achieve the goals of environmental sustainability. And the hope that the negative environmental impacts of AI will be mitigated. The belief that AI can be good for the environment succeeds in diverting attention from the real question: Are the environmental and societal costs of developing and deploying AI acceptable? Check out a new article by Kris Shrishak and me in Tech Policy Press - link in the comments. Picture: Catherine Breslin & Tania Duarte / Better Images of AI / AI silicon clouds collage / CC-BY 4.0
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Strategic Consulting | CSIRE ebIX | AI | Innovation. The statements and opinions expressed here are my own and do not necessarily represent those of Oracle Corporation.
1yExactly! I agree maybe except first bullet. I think both malicious disinformation and overreliance are real risks