AI provisions might refer to the specific rules, regulations, and guidelines that are put in place to govern the development, deployment, and use of artificial intelligence (AI) systems. These provisions can take many forms, including laws, policies, and ethical frameworks.

AI provisions aim to ensure that AI systems are developed and used in a responsible and ethical manner that protects the rights and interests of individuals and society as a whole. They typically address a range of issues related to AI, including data privacy, transparency, accountability, fairness, and bias.

Here are some examples of AI provisions or guidelines that have been proposed or implemented by various organizations and governments:

1. The EU's General Data Protection Regulation (GDPR) - sets out rules for the collection, processing, and storage of personal data, including provisions that apply specifically to AI systems.

2. The OECD's AI Principles - provide a framework for the responsible development and deployment of AI systems, covering issues such as transparency, accountability, and human-centered values.

3. The IEEE's Ethically Aligned Design - a framework that provides guidance on ethical considerations in the design and development of AI systems.

4. The Asilomar AI Principles - a set of 23 principles developed by leading AI researchers and industry experts, covering issues such as transparency, privacy, and safety.

5.  The Montreal Declaration for Responsible AI - a set of principles developed by AI researchers, policymakers, and civil society organizations, calling for the development and deployment of AI systems that are transparent, accountable, and fair.

6.  The AI Now Institute's Recommendations for AI Accountability - a set of principles developed by a leading AI research institute, covering issues such as bias, transparency, and accountability.

7.  The California Consumer Privacy Act (CCPA) - a law that gives California residents more control over their personal data, including data collected by AI systems.

8.  The AI Ethics Guidelines for Trustworthy AI by the European Commission - A comprehensive framework consisting of principles and guidance for ensuring that AI systems are trustworthy, respectful of fundamental rights, and able to reflect ethical considerations.

9. The World Economic Forum's Global AI Action Alliance - An initiative aimed at creating a global coalition of stakeholders committed to promoting responsible and ethical AI development and deployment.

10. The UK Government's AI Code of Conduct - A set of guidelines that provide a framework for AI development and deployment in the public sector, emphasizing transparency, accountability, and human oversight.

11. The Partnership on AI - A multi-stakeholder organization that brings together leading companies, civil society organizations, and academic institutions to collaborate on developing and promoting responsible AI practices.

12. The UNESCO Recommendation on the Ethics of Artificial Intelligence - A set of principles and guidelines developed by UNESCO that emphasize the importance of protecting human rights, ensuring transparency and accountability, and promoting the social and environmental benefits of AI.

13. The AI4People Charter - A set of recommendations developed by a group of European experts and stakeholders, calling for the development and deployment of AI systems that are transparent, accountable, and socially beneficial.

14. The Japanese Society for Artificial Intelligence's Ethical Guidelines for AI - A set of guidelines developed by a leading AI research organization in Japan, covering issues such as transparency, fairness, and privacy in AI development and deployment.

15. The Montreal AI Ethics Institute's AI Ethics Guidelines - A set of guidelines developed by a non-profit organization focused on promoting ethical and socially responsible AI development and deployment.

16. The Singapore Model AI Governance Framework - A framework developed by the government of Singapore that provides guidance on the responsible and ethical use of AI in various sectors.

17. The Global Partnership on Artificial Intelligence (GPAI) - A multi-stakeholder initiative that brings together governments, industry, and civil society organizations to promote responsible and human-centric AI development and deployment.

18. The Microsoft AI Principles - A set of principles developed by Microsoft that guide the company's approach to developing and deploying AI systems, emphasizing transparency, fairness, and accountability.

19. The Institute of Electrical and Electronics Engineers (IEEE) Global Initiative on Ethics of Autonomous and Intelligent Systems - A comprehensive framework that provides guidance on ethical considerations in the development and deployment of autonomous and intelligent systems.

20. The Canadian AI Ethics Framework - A set of principles developed by the Canadian government that emphasize transparency, accountability, and respect for human rights in AI development and deployment.

21. The UN Guiding Principles on Business and Human Rights - While not specific to AI, these principles provide a framework for companies to respect human rights in their operations, which includes the development and deployment of AI systems.

22. The IEEE Standards Association's P7000 series of standards - A set of standards that provide guidance for the development of ethical and transparent AI systems in various domains, including health care, autonomous systems, and algorithmic bias.

23. The European Union's proposed Artificial Intelligence Act - A regulatory proposal that aims to set rules for AI development and deployment in the EU, including provisions related to transparency, human oversight, and data privacy.

24. The UNESCO Recommendation on the Ethics of AI in Education - A set of guidelines that emphasize the importance of using AI in education in a way that respects human rights, ensures transparency and accountability, and promotes social and environmental benefits.

25. The OECD's Recommendation on AI - A set of guidelines that provide policy makers with guidance on how to ensure that AI systems are developed and deployed in a way that is inclusive, transparent, and respects human rights.

26. The Center for Democracy and Technology's AI Principles - A set of principles that aim to promote the development and deployment of AI systems that are transparent, accountable, and respect human rights.

27. The US Federal Trade Commission's guidance on AI and algorithms - Guidance that outlines best practices for businesses using AI and algorithms, including transparency, fairness, and accountability.

28. The Algorithmic Impact Assessment Toolkit - A toolkit developed by the AI Now Institute that provides a framework for assessing the potential impacts of algorithms and AI systems on individuals and society, including issues related to bias, discrimination, and privacy.

29. The European Commission's White Paper on Artificial Intelligence - A document that outlines the European Union's vision for AI development and deployment, including a focus on human-centric and trustworthy AI.

30. The UK Centre for Data Ethics and Innovation's AI Ethics Guidelines - A set of guidelines that provide a framework for ethical and responsible AI development and deployment in the UK, covering issues such as fairness, transparency, and accountability.

31. The Montreal Declaration for a Responsible Development of Artificial Intelligence - A set of principles and recommendations developed by an international group of AI experts and stakeholders, emphasizing the importance of human rights, transparency, and accountability in AI development and deployment.

32. The AI Governance Framework by the Australian Government - A framework that provides guidance on the ethical and responsible use of AI in various sectors in Australia, including principles related to fairness, accountability, and transparency.

33. The AI Transparency Obligations by the California Department of Fair Employment and Housing - A set of guidelines that require companies that use AI in hiring, promotion, or termination decisions to provide transparency and explanation about how AI was used in the decision-making process.

34. The European Commission's Guidelines on AI and Data Protection - A set of guidelines that aim to ensure that the use of AI systems in the EU is compatible with the General Data Protection Regulation (GDPR), including principles related to data protection, transparency, and fairness.

35.The IEEE Standards Association's P7006 Standard for Personal Data Artificial Intelligence (AI) Agent - A standard that provides guidelines for the development and deployment of AI systems that handle personal data, including principles related to privacy, security, and transparency.