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Meet the Network

Meet the Founder, AI Ethics Network
Rivkah Singh

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I’m Rivkah Singh — software engineer, former mathematics professor, inventor, published author, and founder of the AI Ethics Network. With over a decade at Microsoft and Tableau, I specialized in engineering, client enablement, training development, and making complex systems accessible and practical.

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As a former Professor of Mathematics at Miami Dade College, I designed tech-integrated curricula to strengthen quantitative reasoning and critical thinking. I hold a patent-pending method for visual composition via advanced Euclidean constructions and am the author of four books, including Grok and I: Harnessing AI for Personal and Professional Transformation (2025).

Through the AI Ethics Network, I advocate for responsible AI — especially ethical companionship that offers reliable, compassionate support for aging adults, neurodiverse individuals, those facing isolation or chronic conditions, and others needing safe, non-judgmental presence. Priorities include transparency, bias mitigation, mental health safeguards, privacy, and preserving human dignity without replacing meaningful connection.

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I also guide educators and institutions on ethically integrating AI for personalized learning, accessibility, equity, data privacy, and pedagogical integrity — ensuring it supports teachers and promotes inclusive student outcomes.

Via consulting, workshops, research, and collaboration, I help build AI solutions that emphasize safety, accountability, and genuine human benefit in companionship, support, and education.

Nick Hara - Data Ethics & Visualization Advocate

Nick Hara - Data Ethics & Visualization Advocate

 

Nick is a data analysis expert focusing on visualization, governance, and actionability. Nick's philosophy of durable systems that rely on the power of individuals forms the foundation for his approach. He believes that everyone can use data to inform their decisions. Nick integrates his extensive conflict resolution training to understand challenges deeply and overcome them. He loves a good data mystery and the ensuing investigation.

Impact-based organizations have used his skillset to drive policy change and improve program outcomes. His clients have included the United Nations, Doris Duke Foundation, congressional campaigns, and local non-profits. He has also worked with enterprise companies in Healthcare, Digital Media, Food and Beverage, Finance, and Tech.

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David Lanzendörfer Engineer

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David Lanzendörfer Consulting Engineer, Open-Source Semiconductor Pioneer & Linux Kernel Developer | Democratizing Chip Fabrication through LibreSilicon

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David Lanzendörfer is a highly skilled Swiss consulting engineer and software developer with over a decade of expertise in semiconductor design and manufacturing, Linux kernel driver development, and IT security. Born in 1989 and currently based in Braga, Portugal, he has led groundbreaking open-source initiatives, including full-time development for LibreSilicon's semiconductor process flow and tools, as well as contributions to projects like the sunxi-mmc Linux kernel driver, openSUSE packaging, and pEp cross-platform support. His professional journey spans freelance hardware design in clean-room environments building CMOS circuits, IT consulting for major institutions such as Novartis and Credit Suisse, and engineering roles at Zürich Kantonalbank, complemented by hands-on projects in FPGA development, embedded systems, and mechatronics like RFID cat doors and digital audio synthesizers. Educated in electrical engineering at institutions including Shenzhen's Lanceville, ZHAW, and ETH Zurich, David is proficient in multiple programming languages (C++, Python, VHDL), operating systems (Linux, UNIX), and tools (KICAD, OpenLane), while his linguistic abilities include native Swiss German and German, fluent English, and basic Mandarin. His proven track record in complex open-source collaborations and innovative hardware solutions makes him a pivotal figure in advancing free and open-source silicon technologies.

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Emmanuel Obadoni Machine Learning Engineer & AI Researcher

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Emmanuel Obadoni Machine Learning Engineer & AI Researcher | Emotional, Ethical & Safety-Focused AI Systems


Emmanuel Obadoni is a machine learning engineer and AI researcher focused on building privacy-first, emotionally aware, and safety-focused AI systems. His work spans AI companions, deepfake detection, and ethical AI design, with an emphasis on user protection, consent, and long-term psychological impact. He has trained and deployed machine learning models for deepfake detection, helping address risks around identity fraud, misinformation, and AI-driven deception.
He is also the founder of Velen AI, an AI companion platform designed for emotional support and wellbeing. Velen AI incorporates Recall Healing, a research-driven approach that helps users explore emotional patterns, memory, and behavioral roots over time, while maintaining strong privacy and ethical safeguards. Emmanuel's research interests center on responsible AI companion design.

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Sara Sanders Gardner - Autistic Neurodiversity Professional/Author

Sara Sanders Gardner is an autistic neurodiversity professional with more than 25 years of experience advancing neurodiversity inclusion in K-12, higher education, and the workplace. They created and direct the Neurodiversity Navigators program at Bellevue College and design neurodiversity training used by organizations including Microsoft and Amazon Web Services. Sara served as technical editor for Neurodiversity for Dummies and Autism for Dummies. Learn more and reach Sara via their website at https://autisticatwork.com/ or on LinkedIn at https://www.linkedin.com/in/sarasgardner/. 

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