About Us – BABL AI

Our mission is to ensure that all algorithms are developed, deployed, and governed in ways that prioritize human flourishing.

Meet our Team

Shea Brown

Founder & Chief Executive Officer

Shea is a leading expert and thinker on responsible AI. His research addresses algorithmic auditing and bias in machine learning, and he serves on several IEEE working groups that set standards for algorithmic bias and organizational governance of artificial intelligence. He has a PhD in Astrophysics from the University of Minnesota and is currently a faculty member in the Department of Physics & Astronomy at the University of Iowa.

Jovana Davidovic

Chief Ethics Officer

Jovana has helped clients improve their ethical systems and processes for over a decade. Her research focuses on applied ethics and law, and in particular ethics of algorithms, ethics of war, and international law. She’s an Associate Professor in Philosophy at the University of Iowa; with a secondary appointment at the Law School and the Center for Human Rights.

Benjamin Lange

Chief Operating Officer

Ben brings extensive experience working with FTSE 100, Fortune 500, and DAX30 companies across various sectors (finance, technology, pharmaceutical, law, non-profit) in order to help them build ethical capabilities in organizational ethics and responsible AI. He is a Research Fellow in Ethics at the Ludwig Maximilian University of Munich and holds a PhD in Philosophy from the University of Oxford. His research focuses on organizational ethics and the ethics of technology.

Jeffery Recker

Chief Financial Officer

Jeffery brings over ten years of management experience and over fifteen years of sales experience to BABL. He has done research on tech ethics, bias within artificial intelligence algorithms, data science and sustainability. He is a ForHumanity Certified Auditor of AI systems. He has a BBA in Economics from the University of Iowa and a Masters of Science in Strategic Leadership towards Sustainability at Blekinge Tekniska Högskola

Ali Hasan

Head of Research & Development

Ali’s research focuses on epistemology (theories of knowledge and rationality), ethics, and issues lying at their intersection. His research in applied ethics focuses on issues in technology, especially ethics of AI and algorithms, and the spread of misinformation. He’s an Associate Professor and Director of Graduate Studies in Philosophy at the University of Iowa, where he regularly teaches courses in ethics and epistemology, and helped develop a Graduate Certificate in Ethics that offers specializations in AI ethics, military ethics, medical ethics, human rights, and more.

Mitt Regan

Senior Advisor

Mitt’s work focuses on international law, national security, international human rights, and legal and military ethics. Mitt is McDevitt Professor of Jurisprudence, Director of the Center on the Legal Profession, and Co-Director on the Center on National Security and the Law at Georgetown University Law Center, as well as Senior Fellow at the Stockdale Center for Ethical Leadership at the U.S. Naval Academy. Mitt also serves on the Institute for Defense Analyses committee that is advisory to the Defense Advanced Research Projects Agency (DARPA) on incorporating assessment of legal, moral, and ethical considerations into research projects for the agency.

Borhane Blili Hamelin

Associate, AI Audit & Assurance

Borhane draws on his ethics expertise and on participatory methods to help organizations and practitioners mitigate the ethical risks of AI systems. His recent research looks to feminist philosophy of science to uncover overlooked areas of ethical risk with ML benchmarks. He founded He founded Accountability Case Labs to tackle silos in the algorithmic accountability space through participatory research and workshops. He is also co-director of Open Post Academics, he co curated the 2022 Mozilla Festival Rethinking Power and Ethics space, and he holds a PhD in philosophy from Columbia University

Khoa Lam

Machine Learning Researcher in Responsible AI

Khoa offers considerable technical expertise in data science and machine learning to the team. He also works as an Editor for the AI Incident Database, where he documents and categorizes incidents, issues, and harms of AI systems worldwide, giving him a holistic perspective on the development and governance of Responsible AI. He contributes to working groups on AI audits and technical best practices, and occasionally writes about AI issues in Vietnam. Khoa holds a M.Sc. in Computational Environmental Chemistry from the State University of New York.