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Start 4 June 2026 05:57

Einde 4 June 2026

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AI Regulations for Tech Leaders: The EU AI Act and More

Explore AI governance frameworks, EU AI Act compliance, and ethical strategies to responsibly deploy artificial intelligence while navigating evolving regulatory landscapes.
via LinkedIn Learning

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Overzicht

As AI regulations continue to evolve, tech leaders must stay informed about the legal, ethical, and governance challenges. This learning path provides a deep dive into key regulatory frameworks, including the EU AI Act, while also exploring compliance, governance strategies, and ethical considerations.

Learn from top experts how to navigate the complex landscape of AI regulations and ensure responsible AI deployment in your organization.List ethical challenges and AI governance frameworks.Describe compliance requirements and the EU AI Act.Develop AI strategies aligned with regulatory standards.

Lesprogramma

  • Introduction to AI Regulations
  • Overview of AI regulatory landscape
    Importance of compliance for tech leaders
  • Exploring the EU AI Act
  • Purpose and scope of the EU AI Act
    Key components and provisions of the Act
    Implications for AI deployment within the EU
  • Understanding Global AI Regulatory Frameworks
  • Comparison of global AI regulatory approaches
    Key differences between EU, US, and other frameworks
  • Compliance Strategies for AI
  • Steps to ensure compliance with AI regulations
    Risk assessment and management
    Documentation and reporting requirements
  • AI Governance for Organizations
  • Frameworks for AI governance
    Roles and responsibilities in AI governance
    Building effective AI governance structures
  • Ethical Considerations in AI Deployment
  • Common ethical challenges in AI
    Bias, fairness, and transparency in AI systems
    Privacy and data protection concerns
  • Developing Responsible AI Strategies
  • Aligning AI strategies with regulatory standards
    Best practices for responsible AI development
    Case studies of successful AI governance implementations
  • Engaging with Stakeholders
  • Collaborating with regulators and policy makers
    Engaging with internal and external stakeholders
  • Future Trends in AI Regulation
  • Emerging trends and potential future regulations
    Preparing for changes in the regulatory environment
  • Conclusion and Action Plan
  • Crafting an organizational action plan
    Continuous learning and adaptation in AI governance

Gegeven door

Vidhi Chugh, Adrián González Sánchez, Tristan Ingold and Vilas Dhar


Vakgebieden

Computer Science