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AI Research Journal

Subscribe or make a one time purchase to AI Research Journal

AI Research Journal Quarterly Print & Digital Edition – Spring 2026 | Vol 1

The AI Research Journal is an independent, member-supported publication dedicated to rigorous, human-centered exploration of artificial intelligence. Each issue delivers in-depth studies, case analyses, and forward-looking insights on the most pressing challenges in AI development — from bias detection and emotional impact to safety, accountability, and ethical alignment.

Why subscribe?

  • Unbiased, peer-level analysis — no corporate agendas, no sponsored content. Just clear-eyed research and thoughtful critique.

  • Actionable takeaways — frameworks, checklists, and real-world examples you can apply in your work, classroom, or organization.

  • Stay ahead of the curve — early coverage of emerging risks, court cases, regulatory shifts, and breakthroughs before they hit mainstream headlines.

  • Exclusive for members — Premium and Patron tiers receive print copies mailed directly to you, plus digital access for sharing and archiving.

Whether you’re building AI systems, teaching the next generation, shaping policy, or advocating for responsible innovation, AI Research Journal gives you the independent perspective needed to navigate this rapidly evolving field with confidence and clarity.

Current Issue (Spring 2026) “Why We Should Err on the Side of Caution” Studies on AI Consciousness, Uncovering Bias in AI Research, and the Urgent Need for More Rigor

Price: $24.99 per issue (print + digital) Subscribe via membership: Core Tier and above receive digital access; Premium & Patron receive mailed print copies.

Join the Network to access the journal and support independent AI ethics research.

For wholesale inquiries, please contact us at support@aiethicsnetwork.net

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 Call for Submissions

AI Research Journal – Call for Submissions

AI Research Journal Exploring the Frontiers of AI Ethics, Consciousness, and Theory of Mind

Dear scholars, researchers, and thinkers,

The AI Research Journal, published by the AI Ethics Network, invites original, high-quality research papers and scholarly articles on the most pressing philosophical, ethical, and cognitive dimensions of artificial intelligence.

We particularly welcome submissions in the following areas:

  • AI Ethics: Frameworks for responsible AI development, bias mitigation, moral alignment, societal impacts, governance, and ethical decision-making in autonomous systems.

  • AI Consciousness: Investigations into whether (and how) AI could achieve consciousness, sentience, qualia, or self-awareness; phenomenological approaches; comparisons to biological consciousness.

  • Theory of Mind in AI: Modeling, testing, and implications of AI systems possessing (or simulating) theory of mind; applications in human-AI interaction, empathy simulation, deception detection, and social robotics.

Submissions should be rigorous, evidence-based, and contribute meaningfully to ongoing debates in AI philosophy, cognitive science, ethics, and related fields. We accept full research papers (typically 4,000–10,000 words), shorter perspectives, or review articles.

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.

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.

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

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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"Important Notice: All AI tools, consultations, and resources on AI Ethics Network are for informational and educational purposes only. They are not medical, therapeutic, or healthcare advice. Always consult a licensed professional for personal health needs. Use at your own risk.

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