Brain power
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Advances & challenges in foundation agents: Section 1.2.1 – Brain functionalities and AI parallels
A biologically-grounded illustration and discussion highlighting which human cognitive functions are replicated in AI and which remain frontier challenges.
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The march of “anticipatory governance”
Large-scale “city brains” AI systems allow governments to predict possible futures and act sooner. But what about the risks?
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Case studies in the unethical and irresponsible use of AI
Case studies of failing to detect "botshit" in AI-generated outputs and breaching the privacy of vulnerable people.
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Advances & challenges in foundation agents: Section 1.2 – A parallel comparison between human brain and AI agents
LLM-powered agents differ significantly from human cognition across key dimensions.
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Generative AI might end up being worthless – and that could be a good thing
GenAI does some neat, helpful things, but it’s not yet the engine of a new economy – and it might…
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How project-based learning can foster teamwork
How do team size and the group environment affect motivation in project-based learning (PBL)?
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AI resources update: 1. AI Incident Database | 2. The Geopolitics of AI
Two resources that are important considerations in the use of AI in knowledge management (KM).
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AI systems can easily lie and deceive us – a fact researchers are painfully aware of
In stress-testing AI models, it’s not hard to push them to the brink and make them threaten to harm humans.
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AI ‘workslop’ is creating unnecessary extra work. Here’s how we can stop it
A staggering two-thirds (66%) of employees who use AI at work have relied on AI output without evaluating it.
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AI resources update: 1. AI Ethics and Governance in Practice Program | 2. Global AI Ethics and Governance Observatory
Two resources that can assist the implementation of ethical and responsible AI in KM.
