The Artificial Intelligence in Policy and Regulation course by Oxford Training Centre is an intensive week-long course. The Course aims at equipping professionals with the necessary knowledge and skills in the fast-evolving Artificial Intelligence policy and regulation. This course will focus on the complex landscape of artificial intelligence governance, ethical implications, and regulatory frameworks in development globally. Participants will understand the impact of AI on policy-making and how it shapes the global regulatory environment.
This course will take the participants through the AI governance structure, ethics around AI deployment, and how one can ensure compliance with emerging AI regulations. As AI technologies continue to capture many industries, there is an ever-growing demand for professionals who can address challenges in these aspects. This course is a core source for anyone intent on pursuing a career in policy development for AI, regulatory compliance, or in AI ethics.
Objectives and Target Group
Objectives
The objectives of the AI in Policy and Regulation Course are as follows:
- To equip the participants with comprehensive knowledge on governance issues related to AI technologies-which is now getting unprecedented deployments at scale-and ethically and regulatory issues arising from such deployments.
- Exposure to different AI policy frameworks, various regulatory approaches, and compliance strategies being adopted by governments and organizations worldwide.
- Introduce best practices in the development of AI policies, integrating ethical considerations and regulatory frameworks into AI systems.
- Provide participants with the necessary skills to analyze AI policy issues and contribute to the creation of robust AI regulatory frameworks.
- Engender critical thinking in relation to AI ethics and policy development, enabling participants to navigate the evolving landscape of AI governance and compliance.
Target Group
- Policymakers and regulators: Interested in the implications of AI on legislation and governance.
- Legal professionals and consultants: Specializing in AI compliance and ethics.
- Data scientists, AI developers, and engineers: Seeking a better understanding of AI governance in relation to regulatory standards.
- Academics and researchers: Specializing in AI ethics, policy development, and regulatory frameworks.
- Business leaders and managers: Ensuring organizational compliance with emerging AI laws and ethical guidelines.
- Professionals in technology companies or governmental agencies: Involved in developing or refining AI policy frameworks.
Course Content
The AI in Policy and Regulation Course will cover a wide range of topics, providing participants with in-depth knowledge regarding the governance and regulation of AI. The major areas to be covered are outlined below:
1. Introduction to AI Governance and Ethics
- Overview of AI technologies and their impact on society
- Key concepts in AI ethics and governance
- Ethical considerations in the design and deployment of AI
2. AI Policy Development
- Development of AI policies at national and international levels
- Case studies of existing AI policy frameworks
- Strategies for integrating ethical considerations into AI policy development
3. AI Regulatory Frameworks
- Overview of the current landscape of global AI regulatory frameworks and their application
- Exploring AI regulation in the European Union, United States, and other jurisdictions
- Regulatory compliance for AI technologies across industries: health, finance, and autonomous systems
4. AI and Data Protection Laws
- Understanding how AI intersects with data privacy laws, including GDPR
- AI data protection and security compliance
- Challenges in AI applications: data governance
5. AI Governance and Compliance Mechanisms
- Governance structures to oversee AI
- AI auditing and monitoring
- Compliance of AI systems with the rule of law and ethics
6. The Future of AI Regulation and Governance
- Upcoming trends in AI policy and regulation
- The foreseen changes in AI governance and the contribution of international cooperation
- Preparing for the future of AI governance and its impact on industry practices