#machineunlearning — Public Fediverse posts

Stop just using AI—learn to hack it! 🤖🛠️ Join "Machine Unlearning for Artists" to demystify the AI black box. We’ll explore hidden mechanics, expose biases, and learn to creatively manipulate machine learning models.
https://simonweckert.com/machineunlearning.html
#MachineUnlearning #AIEthics #AIBias #HackAI #CriticalTech

Stop just using AI—learn to hack it! 🤖🛠️ Join "Machine Unlearning for Artists" to demystify the AI black box. We’ll explore hidden mechanics, expose biases, and learn to creatively manipulate machine learning models.
https://simonweckert.com/machineunlearning.html
#MachineUnlearning #AIEthics #AIBias #HackAI #CriticalTech

See you at #EACL2026 in Rabat 🕌!

#LLMs #AI #NLP #NLProc #MachineUnlearning #AIPrivacy #AISafety #ExplainableAI #ResponsibleAI

See you at #EACL2026 in Rabat 🕌!

#LLMs #AI #NLP #NLProc #MachineUnlearning #AIPrivacy #AISafety #ExplainableAI #ResponsibleAI

Bold of German to call it Künstliche Intelligenz when every third AI caption generator still translates ‘cat on laptop’ as ‘feline computing enthusiast.’ 🐈💻 #AI #KI #MachineUnlearning

🤖 #MachineUnlearning: un sogno quasi impossibile di cancellarsi dalla memoria dell'IA. Un viaggio tra privacy e tecnologia. #IAPrivacy

🔗 https://www.tomshw.it/business/cancellati-dalla-memoria-dellia-il-sogno-quasi-impossibile-del-machine-unlearning

I don't think this creative writing is common research practice, but I definitely like it...

The paper's called "Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks", and it's from an actual IEEE journal. https://doi.org/10.1109/CVPR42600.2020.00932

#academia #AcademicChatter #computerScience #neuralnetwork #ieee #cvpr #cvpr2020 #machineLearning #machineUnlearning

I don't think this creative writing is common research practice, but I definitely like it...

The paper's called "Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks", and it's from an actual IEEE journal. https://doi.org/10.1109/CVPR42600.2020.00932

#academia #AcademicChatter #computerScience #neuralnetwork #ieee #cvpr #cvpr2020 #machineLearning #machineUnlearning

Explaining model disgorgement https://iapp.org/news/a/explaining-model-disgorgement/ via @lucianofloridi #ai #governance #machineunlearning #mu

Explaining model disgorgement https://iapp.org/news/a/explaining-model-disgorgement/ via @lucianofloridi #ai #governance #machineunlearning #mu

Machine unlearning poses challenges as #AI advances. Getting neural networks to "forget" is hard since facts aren't neatly stored. Unlearning can degrade performance. But it's necessary for enforcing copyright, bias removal & privacy.

Training on unlicensed data raises legal issues. There's more work needed on responsible unlearning. What role should it play in ethical AI?

https://www.axios.com/2024/01/12/ai-forget-unlearn-data-privacy

#machinelearning #ai #machineunlearning

Machine unlearning poses challenges as #AI advances. Getting neural networks to "forget" is hard since facts aren't neatly stored. Unlearning can degrade performance. But it's necessary for enforcing copyright, bias removal & privacy.

Training on unlicensed data raises legal issues. There's more work needed on responsible unlearning. What role should it play in ethical AI?

https://www.axios.com/2024/01/12/ai-forget-unlearn-data-privacy

#machinelearning #ai #machineunlearning

#AI #ML #MU #MachineUnlearning #TrustworthyAI #RightToBeForgotten: "Machine Unlearning (MU) is often analyzed in terms of how it can facilitate the “right to be forgotten.” However, in this Perspective, we show that MU can support the OECD’s five principles for trustworthy AI, which are influencing AI development and regulation worldwide. We also argue that the implementation of MU is not without ethical risks. To address these concerns and amplify the positive impact of MU, we offer policy recommendations across six categories to encourage the research and uptake of this potentially highly influential new technology."

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4643518

#AI #ML #MU #MachineUnlearning #TrustworthyAI #RightToBeForgotten: "Machine Unlearning (MU) is often analyzed in terms of how it can facilitate the “right to be forgotten.” However, in this Perspective, we show that MU can support the OECD’s five principles for trustworthy AI, which are influencing AI development and regulation worldwide. We also argue that the implementation of MU is not without ethical risks. To address these concerns and amplify the positive impact of MU, we offer policy recommendations across six categories to encourage the research and uptake of this potentially highly influential new technology."

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4643518

@spektrum The right to be forgotten in #AI models (Art. 17 #GDPR)

- machine unlearning challenge: https://ai.googleblog.com/2023/06/announcing-first-machine-unlearning.html?m=1
- Fast #MachineUnlearning Without Retraining Through Selective Synaptic Dampening
https://arxiv.org/abs/2308.07707