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Artificial Collective Intelligence
Intelligence as a governed, distributed cognitive substrate: tacit expertise, institutional memory, attribution, and collective learning.
Kyoto · Artificial Life · Artificial Collective Intelligence
Dr. Olaf Witkowski
Founder and Chief Scientist, Cognisee. Founding Director, Cross Labs. President, International Society for Artificial Life.
I study how intelligence emerges, coordinates, and persists across biological, artificial, and hybrid systems.
My work connects Artificial Life, collective intelligence, empathic AI, secure agentic systems, consciousness, and the future of human-machine cognition.
- Founder and Chief ScientistCognisee
- Founding DirectorCross Labs
- PresidentInternational Society for Artificial Life
- Board DirectorCross Compass
Thesis
Intelligence is not confined to individual minds. It is coordinated across cells, bodies, institutions, machines, and cultures.
The work asks how knowledge, agency, memory, and meaning can persist and travel across radically different substrates.
Programs
Research map
02
Artificial Life
Living systems, open-ended evolution, artificial chemistries, and the substrate-independent principles of life and intelligence.
03
Empathic AI
Humane machine intelligence that treats relationship, agency, care, and ethical co-adaptation as scientific design constraints.
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Hybrid Minds
Human-machine cognition across biological, artificial, cultural, and computational media.
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Secure Agentic Systems
Architectures for multi-agent safety: isolation, capabilities, auditable action, protocol evolution, and resilient governance.
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Ethics of Artificial Beings
Moral consideration, autopoietic technology, AI companionship, and the responsibilities created by artificial living systems.
A Secure Operating System for Collective Intelligence
We stand today at an inflection point in the history of computing. Autonomous AI agents are being deployed at high speed, spawning powerful, increasingly multimodal systems, able to operate across email, documents, apps, codebases, the open web, and shared digital environments. This looks like the long-awaited transition from single-process software to multi-process computing: workflows that […]
The Age of Information Overload
Scroll, Snack, Repeat We live in a time of information abundance. It has become as plentiful—and as carefully engineered to exploit our every weakness—as modern processed food. The more content is optimized to manipulate our attention, the more our cognitive patterns are hijacked. Digital platforms are not only distracting; they reshape what we pay attention […]
AI-to-AI Communication: Unpacking Gibberlink, Secrecy, and New AI Communication Channels
AI communication channels may represent the next major technological leap, driving more efficient interaction between agents—artificial or not. While recent projects like Gibberlink demonstrate AI optimizing exchanges beyond the constraints of human language, fears of hidden AI languages must be correctly debunked. The real challenge is balancing efficiency with transparency, ensuring AI serves as a […]
Life After Programming: Embracing Human-Machine Symbiosis in the Age of AI
As AI continues to evolve, conversations have started questioning the future of traditional programming and computer science education. The rise of prompt engineering—the art of crafting inputs to lead AI models to generating specific outputs—has led many to believe that mastering this new skill could replace the need for deep computational expertise. While this perspective […]
The Innovation Algorithm: DeepSeek, Japan, and How Constraints Drive AI Breakthroughs
In technology, less can truly be more. Scarcity doesn’t strangle progress—it refines it. DeepSeek, cut off from high-end hardware, and Japan, facing a demographic reckoning, are proving that limitations don’t merely shape innovation—they accelerate it. From evolutionary biology to AI, history shows that the most profound breakthroughs don’t originate from excess, but from the pressure […]
Rethinking Intelligence, Empathy, and Hybrid Minds
A broad introduction to thinking on intelligence across biological, artificial, and hybrid substrates, and on the possibility of new paradigms beyond current AI systems.
Watch recordingThe Science and Ethics of Coevolving with AI
A conversation on empathic AI, coevolution between humans and intelligent systems, and the scientific and ethical questions raised by increasingly adaptive forms of machine intelligence.
Watch recordingSubstrate-Dependent Mathematics Hypothesis
An exploration of how cognition, abstraction, and even mathematics may depend on the physical substrates that implement them.
Watch recordingArchive
Scientific publications
Peer-reviewed work and scholarly writing across Artificial Life, collective intelligence, cognition, and hybrid systems.
Publication archiveContact