The European Commission has recently released guidelines aimed at clarifying the obligations for providers of general-purpose AI (GPAI) models under the upcoming AI Act (https://digital-strategy.ec.europa.eu/en/news/learn-more-about-guidelines-providers-general-purpose-ai-models ). These guidelines are intended to ensure that these AI models adhere to principles of transparency and comply with EU and national copyright laws (https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers ). One of the key focuses of the guidelines is the assessment and mitigation of systemic risks associated with the deployment of advanced GPAI models, particularly those that could have significant societal impacts (https://artificialintelligenceact.eu/providers-of-general-purpose-ai-models-what-we-know-about-who-will-qualify/ ). By providing a clear framework, the Commission aims to offer legal certainty for all stakeholders involved in the AI value chain, detailing when and how these obligations will apply (https://bdva.eu/news/ec-released-guidelines-for-providers-of-general-purpose-ai-models/ ) (https://eulawlive.com/commission-publishes-guidelines-for-providers-of-general-purpose-ai-models-to-meet-ai-act-obligations/ ). Overall, the guidelines represent a crucial step in regulating AI technologies within the EU, fostering responsible development while addressing potential risks associated with their use (https://www.integrin.dk/2025/07/19/assisting-general-purpose-ai-models-providers-new-guidelines/ ). #GPAI #AIACT #EuropeanCommission #AIregulation #AIgovernance #SystemicRisk #Transparency #CopyrightLaw #LegalCertainty #ResponsibleAI #EUAIAct #AICompliance #AIethics

So what do they ask when they are testing Models in the Humanity's Exam you might wonder ? Check this out .. #HumanitysTest #ModelTesting #AIethics #AIassessment #ResponsibleAI #EthicalAI #AIalignment #AISafety #ModelEvaluation #AIstandards

Meta has recently won a copyright case. A federal judge ruled that Meta did not infringe on copyright laws when training its AI models using books from a group of authors. This victory marks a significant legal win for Meta, following a similar positive outcome in another copyright lawsuit. The judge sided with Meta, offering further support to the social media giant. Conclusion of the case: "Meta did not violate copyright law in training its AI models on original works." https://www.wired.com/story/meta-scores-victory-ai-copyright-case/ #meta #ai #copyrightlaw #aiethics #aimodels #legalwin #lawsuit #federalcourt #artificialintelligence #generativeai

Anthropic has won a court battle, with a judge ruling that the company's use of copyrighted books to train its AI model constitutes fair use and does not violate copyright law. The court's decision allows Anthropic to continue training its AI on books, setting a precedent for AI companies using copyrighted material for model training. This ruling is significant for the AI industry and could influence future copyright cases involving AI. #anthropic #ai #copyrightlaw #fairuse #aimodeltraining #legalruling #aiethics #claude #bard #gpt4 #llm #artificialintelligence https://youtu.be/h6-QK_zb6pY?si=0XUYaQ8GhtMIkUUi https://techcrunch.com/2025/06/24/a-federal-judge-sides-with-anthropic-in-lawsuit-over-training-ai-on-books-without-authors-permission/

The Ongoing Copyright Debate: The New York Times vs. OpenAI and Microsoft Recently, the New York Times (NYT) filed a lawsuit against OpenAI and Microsoft, alleging that they used millions of copyrighted NYT articles to train their AI models without permission. The lawsuit claims that OpenAI’s models sometimes generate content that closely resembles NYT articles, raising important questions about copyright infringement and the implications for generative AI technologies. While the NYT aims to protect journalistic integrity, critics argue the lawsuit lacks clarity in establishing how exactly the models regurgitate content, leaving many confused about the relationship between AI training and output. Experts suggest that the AI's responses may not solely derive from their training data but could also involve mechanisms like retrieval-augmented generation (RAG), which allows models to pull real-time data from the internet. If this is the case, limiting the regurgitation of copyrighted material might be technically feasible without completely hindering AI capabilities. As AI models evolve and adjustments are made to minimize such occurrences, the industry collectively continues to search for balanced solutions to address copyright concerns while enabling innovation in AI technologies. Hashtags #NewYorkTimes #OpenAI #Microsoft #CopyrightLawsuit #GenerativeAI #AIEthics #MachineLearning #DataPrivacy #TechNews #AIRegulation #DigitalMedia https://www.deeplearning.ai/the-batch/the-new-york-times-versus-openai-and-microsoft/

Anthropic secured a ruling affirming fair use in AI training, but faces trial for using pirated books. Amazon's Project Reneer aims to enhance AI capabilities, while Google donates A2A protocol to the Linux Foundation. Additionally, AI's impact on marketing and hiring practices is reshaping industries, raising concerns about authenticity and overregulation. #anthropic #projectreneer #fairuse #ai #aitraining #linuxfoundation #a2aprotocol #googleai #amazonai #aimarketing #aiethics #aihiring #generativeai #machinelearning #artificialintelligence https://youtu.be/jpvM94HRi44