Alexandra Ebert is a Responsible AI, synthetic data, and privacy expert and serves as Chief Trust Officer at MOSTLY AI. She works on public policy issues and advises executives and regulators in the emerging fields of Generative AI, AI Ethics, and synthetic data. As an internationally sought-after keynote speaker, Alexandra has spoken at some of the largest AI, privacy, and digital banking conferences and has shared her insights with Fortune 100 executives, the UN, and audiences of up to 5000 people on 5 different continents. Alexandra also chairs the global IEEE Synthetic Data IC Expert Group and serves as an AI & privacy expert for the OECD, the Global Challenge to Build Trust in the Age of Generative AI, the UK Financial Conduct Authority, and many other international and national institutions. Additionally, she is a top-rated LinkedIn Learning instructor and host of the Data Democratization Podcast, where she and her guests explore critical issues in the world of AI, privacy, and digital policy.Before joining MOSTLY AI, she researched GDPR's impact on the deployment of artificial intelligence in Europe and its economic, societal, and technological consequences. Besides being an advocate for privacy protection, Alexandra is deeply passionate about Ethical AI and ensuring the fair and responsible use of machine learning algorithms. She is the co-author of an ICLR paper and a popular blog series on fairness in AI and fair synthetic data, which was featured in Forbes, IEEE Spectrum, and by distinguished AI expert Andrew Ng.About MOSTLY AI:MOSTLY AI developed the world's most accurate synthetic data platform: a game-changing new anonymization technology that empowers businesses to unlock their big data assets, without putting their customers' privacy at risk.