Most books try to communicate clearly. Finnegans Wake does something stranger: it keeps generating meaning faster than we can close it down.

Our Research uncovers it's structural singularity & asks whether that structure comes from an extraordinary density of meaning.

Cybernetics matters because it describes how the world actually works: through feedback, adaptation, memory, and self-organisation. These dynamics shape living systems, machines, ecologies, economies, and AI. In this work, cybernetics becomes audible. Rather than composing notes or performing gestures, we design circuits that listen, respond, and play themselves.

Why do language models feel creative at all? This paper argues that the answer may lie not in seamless global understanding, but in the local patterns of human language.

Why do very different languages seem to converge on a similar rate of communication? A common answer is that humans are hitting a hard cognitive ceiling. Our new paper argues something subtler: language is not optimized for maximum throughput, but for shared understanding under real-world conditions of noise, ambiguity, memory, and repair.

We Speak Through Shared Worlds: A Rate–Distortion View of Human Language proposes that communication works inside a context-adaptive regime of collaborative compression. Shared history, expertise, culture, and common ground are not just background to communication, they are part of its compression machinery.

We spend a third of our lives asleep, and science has long known sleep is essential for memory. But a new theory goes further: sleep doesn't just consolidate what you learned — it actively edits it, pruning away the noise and preserving what's most connected and meaningful. We've built a formal model of this process, and it turns out the brain may be solving the same kind of optimisation problem that underlies compression in information systems. What that means for how we think about learning, rest, and cognitive wellbeing is only beginning to come into focus.

Provenance markers. Uncertainty signals. Targeted refusals. The tools exist. They're not being built because they slow things down, reduce engagement, and hurt the metrics that matter to the companies deploying AI.

The problem isn't inside the model. It's around it.

Safety Beyond the Model — new research from the AI+Wellbeing Institute — argues that AI safety is an institutional design problem as much as a technical one. Read the paper

The Wellbeing Observatory is an ongoing research Project at the AI+Wellbeing Institute. Based upon a novel approach to quantifying contribution or detracts from wellbeing.

This interactive global dashboard that visualizes “wellbeing efficiency” - the extent to which economies support or detract from wellbeing - across countries from 1970–2024.

Jean Robin, Jean-Paul Duthieuw Leynaick

Research from ICLA, University of Tokyo & the University of Melbourne shows a straight forward, way forward.

This simulation provides an interactive exploration of the empirical relationships between personality, cognition, and authoritarian attitudes as established in the peer-reviewed literature. It is designed for educational use in courses covering political psychology, personality research, and social cognition.

AI Won’t Lead … But your People Will

Value Creator 2035: Who Will Lead in the Age of AI?

Chris Lowndes, AI lead for Accenture & John Ricketts hold a series of workshops & discussions with ICLA students. Here we introduce the Value Creator 2035 blueprint — five human competencies our curriculum is engineered to build, and why they matter for your future talent pipeline.

Watch the videos, read the findings.

Get ready for the future … that’s where you’ll spend the rest of your Life !

This short documentary follows my personal journey of losing and rediscovering purpose in the age of AI.

What started as a simple project turned into a deeper search for joy, identity, and meaning. With help from my professor, the Ikigai model, and honest answers from my family, I began to see myself in a new way.

In a world where AI can do many of the “easy” things, this video explores what still makes us human, and why our purpose might be closer than we think.

Best regards, Lukas Juul Hansen, Exchange Student from Denmark Student ID: 2508860

Invisible Work? MATTERS.

A CAMPAIGN TO MAKE CARE WORK VISIBLE

Using AI-assisted erasure techniques, this campaign removes caregivers from iconic photographs of care work. What remains is the evidence of labor: the bathed child, the swept floor, the tended home, the cared-for elder.

The work is visible. The workers are not.

By making economic erasure literal—by showing the gap, the void, the absence—we ask: Who’s missing from our economy? And what happens when we refuse to see them? Anna Revesz

Urban & Rural Development in NSW, Australia

Locally driven, culture based regeneration.

Brookvale Arts District (BAD) demonstrates how a district-based approach can transform fragmented local energy into a coherent, culturally vibrant and economically active precinct - through coordination, not control.

Before BAD, Brookvale comprised creative studios, breweries, light industrial businesses and emerging cultural groups operating independently. Activity was strong, but lacked visibility, shared identity and a mechanism to collaborate. BAD introduced a lightweight district layer-shared narrative, simple coordination and clear communication - shaped with the community, It amplified what already existed rather than replacing it.

Once established, momentum grew through continuity: Brookvale evolved into a recognised cultural destination with a stronger night-time economy, more frequent cultural programming and growing cross-industry collaboration. BAD also became a clearer point of engagement for government and partners- improving delivery confidence and investment readiness.

Liberal Arts equips us to approach AI safety as a ‘human systems’ problem, not a purely technical one. In practice, the risks that matter most—misaligned incentives, opaque institutions, cultural blind spots, brittle governance, and unintended social consequences—emerge at the boundary between code and society. A siloed viewpoint can optimize one layer (model performance, legal compliance, or ethics statements) while missing how the whole system behaves when deployed at scale. By contrast, liberal arts training builds the habit of integrating ways of knowing: empirical evidence and statistical reasoning, philosophical clarity about values and responsibility, historical awareness of how technologies reshape power, and communicative skill for building legitimacy across stakeholders. That integrative capacity doesn’t replace technical expertise—it makes it safer—because it helps us ask the right questions early, notice second-order effects, and design AI that is trustworthy not only in the lab, but in the lived reality of diverse communities.

“2028-2032: Breaking Point …This is when normal ends. Societies will face a redefinition of labor, trust, & even value”

So what can we do? What World do we Want?

ICLA Students are building the tomorrow they want.

By 2026, the Dark Enlightenment no longer appears as fringe internet theory but as a quiet operating logic in parts of the New Right and Silicon Valley: anti-democratic, accelerationist, and CEOist. Its practical thrust is to weaken mediating institutions, attack the administrative state, and recast governance as executive control rather than public accountability. What was once marginal: post-democratic hierarchy, reactionary modernism, and selective biological essentialism, now circulates more openly through elite tech and political discourse.