# Codes of Practice Development and Adoption Procedures — legal context bundle > Curated from overview.legal on 2026-08-22. Canonical page: https://overview.legal/topics/codes-of-practice-development-adoption > Sources are cited per item. Verify against the official texts before relying on them. The content specifically addresses 'Codes of practice' as a regulatory mechanism, requiring detailed coverage of how these codes are developed, adopted, and implemented within the AI Act framework. ## Legislation (full text of key provisions) ### Recital 116 — AI Office codes of practice development *Source: AI Act, aiact-rec-116-en, 2024-06-12 — https://overview.legal/posts/93914* The AI Office should encourage and facilitate the drawing up, review and adaptation of codes of practice, taking into account international approaches. All providers of general-purpose AI models could be invited to participate. To ensure that the codes of practice reflect the state of the art and duly take into account a diverse set of perspectives, the AI Office should collaborate with relevant national competent authorities, and could, where appropriate, consult with civil society organisations and other relevant stakeholders and experts, including the Scientific Panel, for the drawing up of such codes. Codes of practice should cover obligations for providers of general-purpose AI models and of general-purpose AI models presenting systemic risks. In addition, as regards systemic risks, codes of practice should help to establish a risk taxonomy of the type and nature of the systemic risks at Union level, including their sources. Codes of practice should also be focused on specific risk assessment and mitigation measures. ## Recent developments ### Stakeholder event on guidelines on the interplay between data protection and competition law: express your interest *Source: European Data Protection Board, 2026-07-30 — https://overview.legal/posts/184677 — original: https://www.edpb.europa.eu/news/stakeholder-event-on-guidelines-on-the-interplay-between-data-protection-and-competition-law-0_en* Brussels, 30 July – The EDPB and the European Commission organise a remote stakeholder event in the context of their joint work on upcoming guidelines on the interplay between competition and data protection. The event will take place on 15 October 2026 and is an opportunity for stakeholders to inform and support the ongoing work on this topic.The event reflects the EDPB’s commitment to stakeholder engagement and cross-regulatory cooperation, as outlined in the Helsinki statement and in the EDPB ### Stakeholder event on guidelines on the interplay between data protection and competition law: save the date *Source: European Data Protection Board, 2026-07-23 — https://overview.legal/posts/156359 — original: https://www.edpb.europa.eu/news/stakeholder-event-on-guidelines-on-the-interplay-between-data-protection-and-competition-law_en* Brussels, 23 July – The EDPB and the European Commission organise a remote stakeholder event in the context of their joint work on upcoming guidelines on the interplay between competition and data protection. The event will take place on 15 October 2026 and is an opportunity for stakeholders to inform and support the ongoing work on this topic.The event reflects the EDPB’s commitment to stakeholder engagement and cross-regulatory cooperation, as outlined in the Helsinki statement and in the EDPB ## Literature ### An Operational Ethical Framework for GeoAI: A PRISMA-Based Systematic Review of International Policy and Scholarly Literature *Source: ISPRS International Journal of Geo-Information, 2026-01-22 — https://overview.legal/posts/53844 — original: https://doi.org/10.3390/ijgi15010051* This study proposes a systematic framework for establishing ethical guidelines for GeoAI (Geospatial Artificial Intelligence), which integrates AI with spatial data science, GIS, and remote sensing. While general AI ethics have advanced through the OECD, UNESCO, and the EU AI Act, ethical standards tailored to GeoAI remain underdeveloped. Geospatial information exhibits unique characteristics, spatiality, contextuality, and spatial autocorrelation—and consequently entails distinct risks such as ### Balancing Security and Privacy: Analyzing the Effectiveness of EU Digital Surveillance Laws in Criminal Proceedings *Source: International Journal of Law and Societal Studies, 2025-09-26 — https://overview.legal/posts/53859 — original: https://doi.org/10.61424/ijlss.v2i1.445* This research examines the complex balance between privacy and law enforcement in EU digital surveillance laws during criminal proceedings. It analyzes how these laws protect individual rights while ensuring security through case studies and legal analysis. Landmark cases like Digital Rights Ireland, Schrems decisions, and Tele2 Sverige illustrate the European courts' preference for targeted surveillance over mass data collection, highlighting tensions between privacy and security. Although thes ## Related topics - **Authority Cooperation** — https://overview.legal/topics/cooperation-with-authorities-ai This new topic is needed because the AI Act establishes specific cooperation and coordination mechanisms between AI providers/deployers and competent authoritie - **Artificial Intelligence** — https://overview.legal/topics/ai AI systems and their implications for data protection - **Monitoring** — https://overview.legal/topics/monitoring Systematic observation and tracking of individuals - **AI Value Chain Actors and Roles** — https://overview.legal/topics/ai-value-chain-actors The content focuses on responsibilities distributed across different actors in the AI value chain. 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