AI Governance and Data Protection

​Overview:
Calling all data professionals! Join our engaging webinar on AI Governance and Data Protection, designed for IT experts, legal professionals, HR managers, sales and marketing teams, customer service leaders, and finance specialists.

​In today’s fast-paced tech landscape, understanding AI governance and data protection is essential. Learn the latest frameworks, ethical standards, and regulatory requirements to navigate AI complexities. Discover best practices, mitigate risks, and ensure compliance.

​Our expert, Amit Gadhia, will provide valuable insights and real-world examples to help you excel in your field. Don’t miss out!

​Who Should Attend: Working IT Professionals, Legal Professionals, HR Professionals (Directors, Managers), Sales and Marketing (All Levels), Customer Service (All Levels), Finance and Accounting Professionals.

​Workshop Highlights:

• ​Gain a comprehensive understanding of AI governance frameworks and their importance in data protection.

• ​Learn about current and emerging regulations related to AI and data protection and how to ensure compliance.

• ​Develop skills to address ethical considerations and integrate data protection principles into AI systems.

• ​Identify and mitigate data protection risks associated with AI applications.

• ​Discover best practices for AI governance, including real-world case studies and practical tools.

​Agenda

• ​Introduction& Icebreakers (10 minutes)

  • ​Welcome participants and introduce the workshop objectives

  • ​Conduct interactive icebreaker activities to encourage engagement

  • ​Introduce Moringa and DPO course

• ​Introduction to AI Governance: (5 mins)

  • ​Importance of governance in AI applications

  • ​Ethical considerations in AI development and deployment

• ​Regulatory Landscape:(10 mins)

  • ​Overview of existing and emerging regulations for AI and data protection

  • ​Key compliance requirements for AI systems

• ​Data Protection Challenges in AI: (10Mins)

  • ​Addressing privacy concerns with AI data processing

  • ​Mitigating biases and ensuring data accuracy

• ​Best Practices for AI Governance: (10 Mins)

  • ​Frameworks and models for effective AI governance

  • ​Implementing AI governance policies and procedures

  • ​Case studies of successful AI governance implementations

• ​Q&A & Wrap-up (30 minutes)

  • ​Open the floor for questions and answer any inquiries

  • ​Summarize key takeaways and share resources

• ​Feedback Session and Closing Remarks (15 mins)