Professional Certificate in AI Policy for Smarter Governance
-- ViewingNowThe Professional Certificate in AI Policy for Smarter Governance is a vital course for individuals seeking to understand and shape the future of AI in public policy. This program covers essential topics including AI governance, ethics, and regulation, preparing learners for the unique challenges and opportunities of AI implementation in government settings.
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GBP £ 140
GBP £ 202
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โข Introduction to AI Policy – Understanding the importance of AI policy for smarter governance, the role of government and other stakeholders, and the impact of AI on society and the economy.
โข Legal and Ethical Considerations in AI – Exploring the legal and ethical challenges posed by AI, such as bias, discrimination, privacy, and security, and discussing potential solutions and best practices.
โข AI Governance Frameworks – Examining various AI governance frameworks and models, including those proposed by international organizations and governments, and analyzing their strengths and weaknesses.
โข AI Regulation – Discussing various regulatory approaches to AI, such as self-regulation, co-regulation, and top-down regulation, and their implications for innovation and growth.
โข AI in Public Services – Exploring the use of AI in public services, such as healthcare, education, transportation, and criminal justice, and discussing the benefits and risks of AI adoption.
โข AI in the Workforce – Examining the impact of AI on the workforce, including job displacement, skill gaps, and workforce development, and discussing strategies for addressing these challenges.
โข AI and National Security – Discussing the implications of AI for national security, including cybersecurity, defense, and intelligence, and exploring the role of AI in enhancing national security.
โข AI and International Relations – Examining the impact of AI on international relations, including diplomacy, conflict, and cooperation, and discussing the role of AI in promoting peace and stability.
โข AI Evaluation and Monitoring – Discussing methods for evaluating and monitoring AI systems, including transparency, accountability, and explainability, and ensuring that AI systems meet ethical and legal standards.
โข Future of AI Policy – Exploring emerging trends and challenges in AI policy, such as AI safety, AI alignment, and AI values, and discussing the future of AI policy and governance.
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