> For the complete documentation index, see [llms.txt](https://www.mica.wtf/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.mica.wtf/mica.wtf/ai-act/chapter-vii-governance-art.-64-70/66.md).

# Art. 66 — Tasks of the Board

The Board shall advise and assist the Commission and the Member States in order to facilitate the consistent and effective application of this Regulation. To that end, the Board may in particular:

1. contribute to the coordination among national competent authorities responsible for the application of this Regulation and, in cooperation with and [subject](https://headlesslaw.com/definitions/ai-act/subject/) to the agreement of the market surveillance authorities concerned, support joint activities of market surveillance authorities referred to in [Article 74(11)](/mica.wtf/ai-act/chapter-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/74.md);
2. collect and share technical and regulatory expertise and best practices among Member States;
3. provide advice on the implementation of this Regulation, in particular as regards the enforcement of rules on general-purpose AI models;
4. contribute to the harmonisation of administrative practices in the Member States, including in relation to the derogation from the [conformity assessment](https://headlesslaw.com/definitions/ai-act/conformity-assessment/) procedures referred to in [Article 46](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/46.md), the functioning of AI regulatory sandboxes, and testing in real world conditions referred to in [Articles 57](/mica.wtf/ai-act/chapter-vi-measures-in-support-of-innovation-art.-57-63/57.md), [59](/mica.wtf/ai-act/chapter-vi-measures-in-support-of-innovation-art.-57-63/59.md) and [60](/mica.wtf/ai-act/chapter-vi-measures-in-support-of-innovation-art.-57-63/60.md);
5. at the request of the Commission or on its own initiative, issue recommendations and written opinions on any relevant matters related to the implementation of this Regulation and to its consistent and effective application, including:
   1. on the development and application of codes of conduct and codes of practice pursuant to this Regulation, as well as of the Commission’s guidelines;
   2. the evaluation and review of this Regulation pursuant to [Article 112](/mica.wtf/ai-act/chapter-xiii-final-provisions-art.-102-113/112.md), including as regards the [serious incident](https://headlesslaw.com/definitions/ai-act/serious-incident/) reports referred to in [Article 73](/mica.wtf/ai-act/chapter-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/73.md), and the functioning of the EU database referred to in [Article 71](/mica.wtf/ai-act/chapter-viii-eu-database-for-high-risk-ai-systems-art.-71/71.md), the preparation of the delegated or implementing acts, and as regards possible alignments of this Regulation with the Union harmonisation legislation listed in Annex I;
   3. on technical specifications or existing standards regarding the requirements set out in Chapter III, Section 2;
   4. on the use of harmonised standards or common specifications referred to in [Articles 40](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/40.md) and [41](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/41.md);
   5. trends, such as European global competitiveness in AI, the uptake of AI in the Union, and the development of digital skills;
   6. trends on the evolving typology of AI value chains, in particular on the resulting implications in terms of accountability;
   7. on the potential need for amendment to Annex III in accordance with [Article 7](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/7.md), and on the potential need for possible revision of [Article 5](/mica.wtf/ai-act/chapter-ii-prohibited-ai-practices-art.-5/5.md) pursuant to [Article 112](/mica.wtf/ai-act/chapter-xiii-final-provisions-art.-102-113/112.md), taking into account relevant available evidence and the latest developments in technology;
6. support the Commission in promoting [AI literacy](https://headlesslaw.com/definitions/ai-act/ai-literacy/), public awareness and understanding of the benefits, risks, safeguards and rights and obligations in relation to the use of AI systems;
7. facilitate the development of common criteria and a shared understanding among market operators and competent authorities of the relevant concepts provided for in this Regulation, including by contributing to the development of benchmarks;
8. cooperate, as appropriate, with other Union institutions, bodies, offices and agencies, as well as relevant Union expert groups and networks, in particular in the fields of product safety, cybersecurity, competition, digital and media services, financial services, consumer protection, data and fundamental rights protection;
9. contribute to effective cooperation with the competent authorities of third countries and with international organisations;
10. assist national competent authorities and the Commission in developing the organisational and technical expertise required for the implementation of this Regulation, including by contributing to the assessment of training needs for staff of Member States involved in implementing this Regulation;
11. assist the [AI Office](https://headlesslaw.com/definitions/ai-act/ai-office/) in supporting national competent authorities in the establishment and development of AI regulatory sandboxes, and facilitate cooperation and information-sharing among AI regulatory sandboxes;
12. contribute to, and provide relevant advice on, the development of guidance documents;
13. advise the Commission in relation to international matters on AI;
14. provide opinions to the Commission on the qualified alerts regarding general-purpose AI models;
15. receive opinions by the Member States on qualified alerts regarding general-purpose AI models, and on national experiences and practices on the monitoring and enforcement of AI systems, in particular systems integrating the general-purpose AI models.


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