AI Governance: The Undiscussed Challenge With Data

The increasing integration of AI into organizational operations offers new opportunities, but it also introduces new risks. A major factor that often remains unexamined is the governance of the data that underpins AI systems. Without the right structures in place, data security, quality, and ethical use can quickly become liabilities.

Join Crowe for an engaging webinar on AI governance and the data challenges most organizations have yet to address. Our specialists will offer insights on the fundamentals of AI governance, what makes data trustworthy for AI use, and how emerging regulations could affect your approach.

Key topics will include:

• Core principles of AI governance, including its intersection with information governance and compliance programs
• Common data challenges in AI development and deployment, including security risks, privacy concerns, and data quality issues
• Ethical considerations for the responsible use of AI
• The rapidly evolving regulatory landscape and anticipated compliance requirements
• Best practices for implementing a comprehensive AI governance strategy
• Our specialists will also walk through real-world examples and provide practical steps to help your organization establish resilient AI governance practices.

After attending this session, you should be able to:

• Describe foundational principles of AI governance
• Identify critical data challenges related to AI quality, security, and privacy
• Assess ethical and regulatory considerations when implementing AI
• Recommend best practices for building a strong AI governance framework