Overview (Program Summary)
In the rapidly evolving landscape of AI model development, the significance of obtaining valid consent cannot be overstated. This Webcast is tailored for privacy and data governance professionals seeking to navigate the complex web of regulations and ethical considerations surrounding obtaining consent to collect personal data and use it for AI.
Join us as we delve into the imperative of securing valid consent, the legal frameworks governing it, and best practices for ensuring compliance while fostering trust with users. We will explore real-world examples and case studies that highlight the impact of consent on AI model building, shedding light on both the risks of non-compliance and the rewards of a transparent approach.
Key Takeaways:
• Understand the legal implications of obtaining consent in AI model development.
• Learn best practices for incorporating consent mechanisms into data collection processes.
• Gain insights into building trust with users through transparent consent practices.
• Explore strategies for ensuring compliance with data privacy regulations.
This Webcast will also discuss how the right technology can streamline consent and preference management across all channels, ensuring seamless synchronization and compliance with global privacy regulations. Empower your privacy team with comprehensive analytics and user consent insights to proactively manage user preferences and opt-outs, while maintaining a robust, defensible process for consent and cookie compliance.
Generously Sponsored by Exterro
