About Us
AI Ethics Network is an independent research and collaboration platform focused on responsible AI development. We bring together researchers, engineers, ethicists, and practitioners to advance work in AI safety, alignment, transparency, and ethical systems design. Through open research, applied projects, and community collaboration, the Network supports rigorous, evidence-based progress in building AI that is both capable and accountable.
Meet the Network
Rivkah Singh
Founder
Rivkah Singh is the founder of the AI Ethics Network. A software engineer and former mathematics professor, she brings over a decade of enterprise experience from Microsoft and Tableau, where she focused on complex systems and making advanced technology practical for organizations. She is Editor-in-Chief of multiple research journals, author of several books including Grok and I, and holds a patent-pending method for advanced Euclidean constructions in visual composition. Through the Network she advances responsible AI with an emphasis on safety, transparency, and applied research.
Nick Hara
Data Analyst
Nick Hara is a data analysis expert focused on visualization, governance, and turning insight into action. He believes durable systems are built on the power of individuals and that everyone should be able to use data to inform decisions. His clients have included the United Nations, Doris Duke Foundation, congressional campaigns, non-profits, and enterprise organizations across healthcare, media, finance, and technology. He brings conflict-resolution training to complex data challenges and approaches every project as an investigation.
David Lanzendörfer
Engineer
David Lanzendörfer is a Swiss consulting engineer and open-source semiconductor pioneer with over a decade of experience in chip design, Linux kernel development, and IT security. He has led full-time development for LibreSilicon’s semiconductor process flow and tools, with additional contributions to the Linux kernel and open-source packaging. His background spans clean-room hardware design, FPGA systems, and engineering roles at major institutions. He works to democratize chip fabrication through free and open-source silicon technologies.
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Emmanuel Obadoni
ML Engineer
Emmanuel Obadoni is a machine learning engineer and AI researcher focused on privacy-first, emotionally aware, and safety-focused systems. His work includes AI companions, deepfake detection, and ethical design with an emphasis on user protection and consent. He is the founder of Velen AI, a companion platform built around emotional support, long-term wellbeing, and strong privacy safeguards. His research centers on responsible AI companion design and the psychological impact of human-AI interaction.
Sarah Sanders Gardner
Neurodiversity Professional
Sara Sanders Gardner is a neurodiversity professional with more than 25 years of experience advancing inclusion across K-12, higher education, and the workplace. They created and direct the Neurodiversity Navigators program at Bellevue College and design training used by organizations including Microsoft and Amazon Web Services. Sara served as technical editor for Neurodiversity for Dummies and Autism for Dummies.