AI is moving faster than the ethics being considered to design and govern it.
The Applied AI Ethics Project exists because that gap is dangerous — and closing it requires more than philosophy. It requires rigorous science, practical frameworks, and a community of people who refuse to look away.
Regulatory bodies are scrambling. Classrooms are improvising. Companies are deploying blindly.
The window to define and put into standard practice the field of AI ethics — to become its intellectual center of gravity — is open right now, and closing.
We built this platform to fill that gap: credible enough to satisfy researchers, practical enough to serve practitioners, and accessible enough to reach the educators and students who will make decisions about AI for the next fifty years.
“To build the most rigorous, accessible, and practically useful AI ethics resource in the world — one that equips educators, professionals, and institutions with the knowledge, frameworks, and community they need to navigate AI's most consequential decisions with clarity and confidence.”Vision
A world in which no significant AI deployment moves forward without people trained to ask the right ethical questions.
The field-defining home for applied AI ethics — where serious thinkers come to learn, debate, and build standards the field urgently needs.
A three-layer platform built for everyone who needs this.
From a free public entry point to deep institutional partnerships — each layer designed for a different depth of engagement.
01
FreeAI Ethics Fluency
Short scenarios, real dilemmas, foundational frameworks. The free entry point for anyone building AI literacy.
02
MemberPractitioner Community
The Physical AI Ethics track, monthly live sessions, member directory, and AI-powered scenario tools — for practitioners engaging the hardest questions.
03
InstitutionalInstitutional Partnerships
White-labeled curriculum, cohort access, certification, and advisory access for universities, governments, and organizations.
Dr. Michael Mannino
Co-Founder, Syneurgy · Chief Science Officer, Flow Research Collective · Professor AI Ethics, Miami Dade College · Former Director, AI Centers, Miami Dade College
Michael's work sits at the intersection of computational cognitive neuroscience, human performance, consciousness, embodied cognition, and the ethical implications of current and future AI systems. His research and writing connect philosophy, neuroscience, and applied AI ethics, with a particular focus on how intelligent technologies reshape human agency, decision-making, attention, embodiment, and flourishing.
He has been researching and teaching AI ethics for several years and developed a highly regarded course shaped through extensive student engagement, classroom dialogue, and iterative feedback. Rather than treating AI ethics as a checklist of risks or regulations, his approach trains people to reason through complex moral tradeoffs, examine competing ethical frameworks, and confront the real-world consequences of AI systems in education, work, healthcare, media, governance, and society.
Michael spearheaded the Applied AI Ethics Project because he believes the conversation about AI ethics is missing the layer that matters most: not just what AI systems can do, but how humans should reason, decide, and act when intelligent systems reshape the conditions of life, work, learning, governance, and society.
As Michael has said, “The biggest question facing humanity right now is actually an AI ethics question — that is, a philosophical one. We are creating a new lifeform, a new species on this planet, smarter than us — what should we do about it?”
The people behind the project.
Scientists, practitioners, and institutional leaders who share the conviction that AI ethics needs a rigorous home.
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* Board and advisor details to be added before launch.
This field needs you in the room.
Whether you're a researcher, clinician, engineer, or policymaker — if you're making decisions about AI, this community was built for you.
5
Ethics Modules
6
Physical AI Domains
150
Founding Seats