Governance

Global AI Governance: Understanding the EU AI Act, US, China, Singapore, Japan, Korea and the emerging global framework for responsible AI

Artificial intelligence is moving from an emerging technology into a general-purpose capability embedded across business, government and society. As organisations increasingly use AI to make recommendations, generate content, analyse information, automate processes and take actions on behalf of people, governments are moving beyond voluntary discussions about AI ethics and beginning to establish formal systems of governance.

AI Tools, Governance

The AI Revolution in Finance: Promise, Peril, and the Path Forward

75 percent of industry respondents leveraging AI for tasks such as fraud detection and credit risk modeling. Yet, the rise of generative AI and agentic AI is what truly captures the imagination. Generative AI, despite only gaining traction since 2022, is now used by 71 percent of industry respondents, while agentic AI is already in active adoption among 52 percent. Fintechs, unburdened by legacy systems, lead the charge, with 57 percent adopting agentic AI compared to 45 percent of traditional financial institutions.

Human Intelligence

Memory in the Age of AI: Why Knowing Still Matters

Every generation has feared that the latest technology would spell the end of human memory. Socrates warned that the advent of writing would create intellectual laziness, a concern later directed at the printing press, newspapers, search engines and, most recently, artificial intelligence. While this anxiety is not entirely without foundation, the neuroscience of memory offers a more subtle perspective.

AI Tools, Governance

AI Agent Registry – Policy to Infrastructure

AI Agent Registry – a layer of customisable rules, sanctioned tools, and a registry to track ownership and activities of every AI agent deployed across the public service. Not a policy paper. Not a framework for consultation. Infrastructure. Who owns the agent? What systems can it access? What decisions is it authorised to make? And how can those actions be audited after the fact?

Cognitive Science, Human Intelligence

Where Machines Generate Answers, Experience Decides What Matters

Human cognition is not a single linear capability that peaks and then deteriorates uniformly. Certain forms of rapid computational thinking do decline over time. But higher-order cognition often develops later because it depends upon accumulated abstraction layers built through experience, failure, pattern recognition, emotional calibration, and long-range consequence mapping

AI Tools

Summary of Academic AI Tools

They’re B2B/prosumer tools targeting students, researchers, and academics: a smaller, quieter market compared to the consumer AI boom. They don’t have the marketing budgets or hype cycles of OpenAI/Google/Anthropic, and they rarely make splashy product launches.

AI Tools

Debugging and evaluation for agentic AI systems

“Workshop,” an open-source, MIT-licensed debugging and evaluation tool aimed squarely at the emerging era of agentic AI systems. The system functions as a local daemon and UI layer that captures full execution traces as they happen. Developers can replay an agent’s behavior, inspect failures, and pinpoint where reasoning or execution went off track.

AI Tools

Latest Model Updates

This week’s AI releases show the industry moving beyond standalone chatbots into persistent, autonomous execution systems. Creative AI took a major leap forward with Krea releasing its first in-house foundation model focused on controllable visual style generation through mood boards and reference consistency. Meanwhile, Thinking Machines Lab, led by Mira Murati, unveiled a real-time conversational model capable of full duplex interaction with sub-half-second latency, pushing AI closer to natural human dialogue.

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