Executive Development Programme in Regulatory Leadership in AI
-- ViewingNowThe Executive Development Programme in Regulatory Leadership in AI is a certificate course designed to address the growing need for expertise in AI regulation. This program emphasizes the importance of ethical AI use, policy development, and implementation in various industries.
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⢠Regulatory Frameworks for AI – Overview of existing and emerging regulations, guidelines, and policies related to AI, machine learning, and data privacy at national and international levels. ⢠Ethical Leadership in AI – Exploration of ethical considerations, dilemmas, and best practices for decision-makers in AI-driven organizations, including risk management, accountability, and transparency. ⢠Responsible AI – Understanding of technical and organizational measures to ensure the development and deployment of responsible AI systems, including fairness, explainability, and human-centered design. ⢠AI Governance – Examination of governance structures, processes, and mechanisms for effective AI management, oversight, and compliance, including internal controls, audits, and stakeholder engagement. ⢠AI Strategy – Development of strategic approaches to leveraging AI for organizational success, including goal-setting, resource allocation, and performance measurement. ⢠Legal & Compliance for AI – Analysis of legal and compliance requirements for AI-driven organizations, including contracts, intellectual property, and liability issues. ⢠AI Standards & Certifications – Familiarization with relevant AI standards and certification programs, their benefits, and the process of obtaining them. ⢠AI Impact Assessment – Mastery of methods and tools for assessing and mitigating the potential social, environmental, and economic impacts of AI systems. ⢠AI Leadership Skills – Enhancement of leadership skills required to navigate the complexities of AI-driven organizations, including communication, collaboration, and cultural transformation.
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