Graduate Certificate in AI Governance in Practice
-- ViewingNowThe Graduate Certificate in AI Governance in Practice is a comprehensive course designed to address the growing need for professionals who can navigate the complex ethical and legal landscape of AI. This certificate equips learners with essential skills to ensure AI systems are developed and deployed responsibly, addressing potential biases, and respecting privacy and human rights.
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⢠AI Ethics: Understanding the ethical implications of AI and developing a framework for ethical decision-making in AI governance.
⢠AI Regulations: Exploring the current and emerging regulations for AI, including data privacy, cybersecurity, and algorithmic accountability.
⢠AI Risk Management: Identifying and assessing risks associated with AI systems and implementing strategies to mitigate those risks.
⢠AI Governance Models: Examining various governance models for AI, including centralized, decentralized, and hybrid approaches.
⢠AI Stakeholder Engagement: Engaging with stakeholders, including the public, to ensure transparency and accountability in AI governance.
⢠AI Bias and Discrimination: Understanding and addressing bias and discrimination in AI systems, including data bias, algorithmic bias, and societal bias.
⢠AI Transparency and Explainability: Ensuring transparency and explainability in AI systems, including explaining AI decisions and providing meaningful feedback mechanisms.
⢠AI Legal and Compliance: Navigating the legal and compliance landscape for AI, including intellectual property, liability, and contracts.
⢠AI Implementation and Deployment: Implementing and deploying AI systems in a responsible and ethical manner, including considerations for security, privacy, and accessibility.
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