Dominique
Shelton Leipzig
Cybersecurity and Data Privacy Partner at Mayer Brown
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
Fri May 23 - 6:20 PM EDT/New York (See in local time)
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04/23/2024 6:20 PM
04/23/2024 06:40 PM
America/New_York
#WTGC2024
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
#WTGC2024
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
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https://www.womentech.net/vfairs
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
"Making Sense of AI Regulations - Minimize Risks, Leverage Benefits"
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Session: Making Sense of AI Regulations - Minimize Risks, Leverage Benefits
The race is on to regulate AI around the globe, with draft legislation existing in 78 countries across six continents. It's not a matter of if AI will be regulated, but when, and it's critical for any companies using AI, whether developing or licensing the technology, to adhere to these frameworks now to future-proof their business and ensure AI is amazing. This can be a daunting task, but the roadmap is laid out within these existing frameworks. Dominique will walk attendees through the key steps to implementing trustworthy and ethical AI that will minimize risks and optimize outcomes.Key Takeaways
- There is great opportunity for AI to change our lives for the better as long as it’s built and deployed in a way that is safe and trustworthy
- The hard work has already been done for CEOs and Board Members in existing trustworthy AI legal frameworks that outlines how to use this technology safely
- Dominique's new book, Trust, provides an easy to follow roadmap for how to build AI systems according to existing legislation, ‘future proof’ your company and become a leader in data stewardship
- CEOs and Board Members should follow these suggested frameworks now, because if they wait until they become law, it will be too late
- Building trustworthy AI can be broken down into five key steps
Bio
Dominique Shelton Leipzig is a Privacy & Cybersecurity Partner at Mayer Brown. She is an authority on how companies can transform their governance to be responsible data leaders by focusing on legal trends in AI, privacy and cyber. She leads the firm’s Global Data Innovation Team, the first data team to focus on CEO and Board Level advice for digital transformation. Dominique has advised on the global strategies for responsible data leadership for hundreds of companies, with a collective market cap of over $3 trillion. She has trained over 50,000 professionals on privacy, AI and cyber including Fortune 100 CEOs and Board Members, and, at the request of the California Supreme Court Chief Justice, trained all California judges on data privacy. Dominique has testified twice before the California Senate Judiciary as a designated expert on privacy. She is the author of three books on data leadership, one of which is focused on data leadership for CEOs and Board Members. Her forthcoming fourth book, entitled Trust. Responsible AI, Innovation, Privacy and Data Leadership, will be published by Forbes at the end of December.Dominique is also the co-founder and co-CEO of NxtWork, a non-profit dedicated to diversifying the C-suite and the boardroom.
