With regulations for AI set to accelerate rapidly in 2024, every business leader and consumer needs to
get ahead of what’s on the way now. How can companies build safe, trustworthy AI that adheres to new
legislation, accelerates growth, and protects people at the same time?
Dominique Shelton Leipzig, a leading expert on legislation around cybersecurity and data privacy, is
uniquely positioned to answer the question. A board member of the AI Governance Center and
International Association of Privacy Professionals, she has advised on the global strategies for responsible
data leadership for hundreds of companies, including Fortune 100 CEOs and Board Members.
For her new book TRUST: Responsible AI, Innovation, Privacy and Data Leadership (on-sale January 9,
2024), Dominique has delved into 3,000+ pages of existing draft legislation from 78 countries around the
globe that spell out the solutions for AI governance that will earn trust, maximize innovation, and avoid
societal harms. Dominique is releasing a new that distills the legal framework businesses can
implement today, before being required to do so. She provides the only playbook any business leader
needs to start preparing for coming AI regulations now.
Regulations on AI have been leaping forward quickly— just last week a landmark EU ruling approved
more trustworthy AI rules—but corporations are still being caught flat-footed with AI, as with the new
class action lawsuit over a data breach at Humana. In TRUST, Dominique shows how businesses can
avoid such pitfalls by implementing new practices tailored to coming legislation. “Similar to how auto companies included seatbelts in cars before being legally required in 1963,” Dominique argues, “today’s business leaders need to have an eye on the legislation that’s in the pipeline and act now.” TRUST gives a blueprint for how good governance can manage the technology, and how businesses can already be adapting.
About the Author:
Dominique Shelton Leipzig is a Mayer Brown Privacy & Cybersecurity Partner. Leading its Global Data
Innovation team, she counsels CEOs and Board Members on how to seize technological opportunities by
establishing smart governance. She has trained 50,000+ professionals, including Fortune 100 leaders, in
AI, privacy and cyber-preparedness oversight. For 30+ years, Dominique has used her command of legal
trends to accurately forecast digital risks and best practices. Her insights have allowed companies, with a
collective market cap of $3 trillion, to optimize innovation through responsible data stewardship.
Trust is her fourth book. She has written hundreds of articles, including a Financial Times op-ed that
outlined a recommended strategy for solving the EU-US cross-border impasse that the White House
subsequently adopted. She founded the Digital Trust Summit at the Watson Institute to invite CEOs and
Board Members to reimagine effective data oversight. Named a Diligent Modern Governance 100 Leader
and an LA Times “Legal Visionary,” she has won 24 awards.