In this episode, we talk with Beatrice Botti from DoubleVerify, a leading provider of digital ad verification solutions. Beatrice leads DoubleVerify’s privacy, data, and AI governance strategy as their Chief Privacy Officer. She is also a licensed attorney in Massachusetts and New York with extensive in-house counsel experience in the tech industry. 

Join us for a discussion on the key pillars of strong AI governance and how responsible AI practices can differentiate products and brands, demystify legal frameworks, and explain why data and AI governance are crucial for organizational success.

SHOW NOTES

Learn more about Beatrice Botti: 

www.linkedin.com/in/beatricebotti/

Relevant and useful links:

Scarlett Johansson wants answers about the ChatGPT voice that sounds like 'Her': https://www.npr.org/2024/05/20/1252495087/openai-pulls-ai-voice-that-was-compared-to-scarlett-johansson-in-the-movie-her

More about the movie “Her”: https://www.imdb.com/title/tt1798709/

More about 2001 “A Space Odyssey”: https://www.imdb.com/title/tt0062622/

More about “Mission: Impossible - Dead Reckoning Part One”: https://www.imdb.com/title/tt9603212/

More about US Patents: https://www.uspto.gov/

SHOW NOTES QUESTIONS

• Introduction to our guest and her background
• Your primary responsibilities regarding AI governance and risk management
• AI governance and the risk of third party vendor AI solutions
• The unique AI governance challenges across sectors like healthcare, wellbeing, and advertising
• Applying AI and risk governance accountability across the organization
• How we can equip participants with practical tools for navigating challenges like bias, data privacy, copyright, and risk management
• How watching AI movies with your co-workers can get them involved and interested in AI
• What are the key pillars of a strong AI governance framework?
• How can organizations establish clear lines of accountability for AI development and deployment?
• How can responsible AI practices differentiate not just products, but also an organization's brand identity?
• How companies and startups can understand the new legal frameworks impacting AI such as the EU AI Act and similar AI laws
• Voice and image cloning and legal issues of privacy and copyright pertaining to multimodal models
• How patent laws apply to AI and non-human inventors
• What are the "true harms and risks" of AI systems
• How can understanding data and AI governance empower data scientists?
• How building trustworthy AI systems differentiate products and brands in the marketplace
• Why is turning data and AI governance into a "secret weapon" such a powerful approach?
• Does AI-generated content infringe on the copyrights of the material it was trained on?
• Who within an organization should take the lead on implementing AI governance and risk management practices?
• How does your legal background influence your approach to AI governance and risk management?

This episode was sponsored by:  

Ai+ Training https://aiplus.training/ 

Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering

And created in partnership with ODSC https://odsc.com/ 

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