Ravit Dotan

Ravit Dotan is an esteemed figure in the realm of AI ethics, uniquely combining her extensive academic background with a hands-on approach to real-world challenges in artificial intelligence. Having earned her PhD in Philosophy from UC Berkeley, where she specialised in the social and political dimensions of science and machine learning, Ravit possesses a deep understanding of how these technologies impact social justice issues. Her transition from academic philosopher to entrepreneur allowed her to leverage her expertise in ethical AI, founding TechBetter to help companies develop responsible AI practices. As an AI speaker, Ravit is well-equipped to educate teams on the importance of ethical AI, drawing on her diverse knowledge of philosophy, computer science, and ethics.

Ravit’s approach to AI ethics is both practical and strategic, focusing on how ethical practices can be integrated into an organisation’s core business strategy. Her consultancy work involves advising tech companies, investors, and procurement teams on embedding AI best practices that not only protect vulnerable stakeholders but also enhance a company’s reputation, compliance, and revenue. Ravit’s talks and workshops are designed to provide actionable insights, enabling organisations to improve their AI ethics maturity. She has created a range of free resources to make AI ethics knowledge more accessible, demonstrating her commitment to promoting inclusive and participatory governance in AI development.

Ravit’s influence in the AI ethics community is recognised globally, making her a compelling choice as a speaker. She was named one of the “100 Brilliant Women in AI Ethics” for 2023 by Women in AI Ethics and was a finalist for the “Responsible AI Leader of the Year” Award in the same year. Her work has been featured in leading publications like the New York Times, TechCrunch, and VentureBeat, and she has received accolades such as the “Distinguished Paper” Award from the FAccT conference, the foremost AI ethics journal. Her ability to bridge the gap between academia and industry allows her to provide a holistic view of the challenges and opportunities in ethical AI, making her a highly sought-after speaker for events focused on responsible AI.

In her presentations, Ravit covers a wide array of topics, including what AI ethics is, the social impact of AI, and the business case for ethical AI. She passionately advocates for responsible AI frameworks, governance models, and policy recommendations. Collaborating with researchers worldwide, her research in AI governance combines theoretical, qualitative, and quantitative methods to inform both her industry work and academic contributions. By hiring Ravit Doman as an AI speaker, you bring on board a thought leader dedicated to making AI more responsible, ensuring that your organisation benefits from the latest insights and strategies in ethical AI.