Category: AI
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Why critical thinking is even more important in the age of AI
I was really struck by this post from Dr Philippa Hardman who has done a fantastic job of reviewing five recent studies on the impact of Gen AI on learning. Many have hailed the potential of generic LLM tools in supporting learning but as
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Brands, and Latent Space
Reading Jack Smyth’s reflections on the recent BRXND Marketing x AI conference in LA I came across the idea of ‘latent space’ as it relates to brands and LLMs. I confess I’d not heard the term before so I did some digging
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On the Agentic Organisation
The next wave of AI innovation is already upon us, and it’s the era of agentic AI. In fact, OpenAI’s CFO Sarah Friar has already said that ‘agentic’ will be the word of 2025. The pace of progression has been remarkably fast
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Using GenAI in strategy, research and insight
Last week I ran a virtual version of the Advanced Application of AI in Advertising course that I put together for the IPA. One of the key topic areas is about how to use GenAI tools in the strategy and planning process which I
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Perspective blindness, and using AI to challenge your thinking
‘20 years after my own graduation I have come gradually to understand that the liberal arts cliche about teaching you how to think is actually shorthand for a much deeper more serious idea. Learning how to think really means learning how to
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‘Good enough’ prompting
I really liked Ethan Mollick’s thoughts this week about ‘good enough’ prompting for AI tools. He references a study of Doctors using GenAI tools which revealed some interesting observations around algorithmic aversion (our hesitancy to take advice from machines when they conflict
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Can we learn effectively from AI?
Many have hailed LLMs as excellent tools for learning but is this really the case? Dr Philippa Hardman has done some interesting research to find out if these AI tools can genuinely impact the learning process. And her findings were quite revealing.
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On technology acceptance models
One of the critical aspects of navigating technological change effectively is understanding more about how users accept and adopt new technologies. For leaders trying to drive technology acceptance and adoption, and to introduce new ways of working within organisations, or consultants and
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Moravec’s Paradox
I came across Moravec’s Paradox via a talk which Stephen Fry gave, titled ‘AI: A Means to an End or a Means to Our End?’, and given as the inaugural ‘Living Well With Technology’ lecture for King’s College London’s Digital Futures Institute.