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Singapore launches 'nutrition label' guidelines for GenAI chatbots
The voluntary framework asks chatbot providers to disclose capabilities, limits and data handling in one place, while new notices spell out GenAI training obligations.
- On Monday, July 20, 2026, Singapore's Personal Data Protection Commission introduced mandatory AI-specific notifications requiring organizations to inform consumers when using personal data to train generative AI models.
- Minister for Digital Development and Information Josephine Teo announced the guidelines to address accountability concerns, clarifying that broad statements about "personalisation of services" or "product development" are no longer sufficient.
- The Infocomm Media Development Authority recommended voluntary "chatbot information card" labels akin to medicine labels, detailing system capabilities, limitations, reliability, and data handling in one consolidated place.
- Major organizations including Google, Meta, DBS, OCBC, Singapore Airlines, and Synapxe will roll out chatbot information cards over the next 12 months, with public sector agencies also adopting the guidelines.
- Public sector agencies including the National Library Board and Health Promotion Board will lead by example, while guidelines clarify that organizations must assess whether scraped data qualifies as "publicly available" before use.
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Europe Mandates the Identification of AI: Who and How Must Warn that They Publish Artificial Content
The European Commission publishes guidelines on transparency for artificial intelligence systems such as popular chatbots and for detecting 'deepfakes' that will come into force on August 2
·Madrid, Spain
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The European Commission published on Monday guidelines explaining how suppliers and operators of artificial intelligence systems must comply with the new transparency obligations set out in the AI Regulation. The new rules will start to...
·Bucharest, Romania
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According to the EU Commission, transparency requirements will help people to recognise when interacting with AI or when content has been generated or modified by AI, reducing the risk of deception and manipulation.
·Bologna, Italy
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Total News Sources11
Leaning Left1Leaning Right2Center2Last UpdatedBias Distribution40% Center, 40% Right
Bias Distribution
- 40% of the sources are Center, 40% of the sources lean Right
40% Right
L 20%
C 40%
R 40%
Factuality
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