Executive Development Programme in AI Governance & Stakeholder Engagement

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The Executive Development Programme in AI Governance & Stakeholder Engagement is a certificate course designed to address the growing need for responsible AI implementation. This programme emphasizes the importance of AI governance and stakeholder engagement in ensuring ethical and effective use of AI technologies in business.

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With the increasing adoption of AI across industries, there is a rising demand for professionals who can navigate the complex ethical and governance issues associated with AI. This course equips learners with the essential skills to lead AI initiatives, establish governance frameworks, and engage stakeholders to ensure alignment with business objectives and ethical standards. By completing this programme, learners will gain a comprehensive understanding of AI governance and stakeholder engagement, enabling them to drive AI innovation while mitigating risks and ensuring compliance with regulations. This course is an excellent opportunity for professionals seeking to advance their careers in AI leadership, governance, and stakeholder management.

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โ€ข Introduction to AI Governance: Understanding the importance of AI governance, ethical considerations, and the role of stakeholder engagement.
โ€ข AI Regulations and Compliance: Overview of global AI regulations, compliance requirements, and risk management strategies.
โ€ข AI Ethics and Responsible AI: Examining ethical dilemmas in AI, developing responsible AI frameworks, and fostering transparency and fairness.
โ€ข AI Stakeholder Identification and Engagement: Identifying key AI stakeholders, developing engagement strategies, and managing stakeholder expectations.
โ€ข AI Governance Structures and Decision-making: Designing governance structures, establishing decision-making processes, and ensuring accountability.
โ€ข AI Strategy and Leadership: Crafting strategic AI initiatives, leading cross-functional teams, and promoting a data-driven culture.
โ€ข AI Project Management and Implementation: Overseeing AI project lifecycles, managing resources, and ensuring seamless implementation.
โ€ข AI Impact Assessment and Monitoring: Measuring AIโ€™s impact, monitoring performance, and refining AI initiatives for continuous improvement.
โ€ข AI Communication and Advocacy: Communicating AI value propositions, addressing concerns, and advocating for AI adoption.
โ€ข AI Future Trends and Preparedness: Anticipating future AI developments, adapting to emerging trends, and building a resilient AI governance framework.

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EXECUTIVE DEVELOPMENT PROGRAMME IN AI GOVERNANCE & STAKEHOLDER ENGAGEMENT
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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