Can LLM’s effectively play as devil’s advocate, enhancing group decisions? Something I’ve been working on lately is AI as a co-agent for cognitive diversity / requisite imagination. Here’s a study which explored an LLM as a devil’s advocate, and I’ll post another study next week on AI and red teaming. [Though this study relied on… Continue reading Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil’s Advocate
Tag: ai
Endoscopist De-Skilling after Exposure to Artificial Intelligence in Colonoscopy: A Multicenter Observational Study
Does AI use contribute to de-skilling? Probably, according to this study of endoscopists. This study compared >1.4k patient outcomes who underwent non-AI assisted colonoscopy before and after AI implementation. Background: · A recent meta-analysis of 20 randomised trials “showed an absolute 8.1 % increase in ADR [Adenoma detection rate] with the use of AI during colonoscopy.5… Continue reading Endoscopist De-Skilling after Exposure to Artificial Intelligence in Colonoscopy: A Multicenter Observational Study
The impact of generative AI on critical thinking skills: a systematic review, conceptual framework and future research directions
The impact of generative AI on critical thinking skills: a systematic review, conceptual framework and future research directions How do generative AI (GenAI) models affect critical thinking skills? This systematic review unpacked 68 studies to explore the good and the bad. GenAI are “machine-learning algorithms, usually transformer-based large-language models (LLMs), that generate new text, code… Continue reading The impact of generative AI on critical thinking skills: a systematic review, conceptual framework and future research directions
BEWARE OF BOTSHIT: HOW TO MANAGE THE EPISTEMIC RISKSOF GENERATIVE CHATBOTS
Really interesting discussion paper on the premise of ‘botshit’: the AI version of bullshit. I can’t do this paper justice – it’s 16 pages, so I can only cover a few extracts. Recommend reading the full paper. Tl;dr: generative chatbots predict responses rather than knowing the meaning of their responses, and hence, “produce coherent-sounding but… Continue reading BEWARE OF BOTSHIT: HOW TO MANAGE THE EPISTEMIC RISKSOF GENERATIVE CHATBOTS
How generative AI reshapes construction and built environment: The good, the bad, and the ugly
This paper discusses some of the good, bad and ugly of GenAI use in construction. GenAI “poised to fundamentally transform the Construction and Built Environment (CBE) industry” but also is a “dual-edged sword, offering immense benefits while simultaneously posing considerable difficulties and potential pitfalls” Not a summary – just a few extracts: The Good: · GenAI… Continue reading How generative AI reshapes construction and built environment: The good, the bad, and the ugly
Large language models powered system safety assessment: applying STPA and FRAM
An AI, STPA and FRAM walk into a bar…ok, that’s all I’ve got. This study used ChatGPT-4o and Gemini to apply STPA and FRAM to analyse: “liquid hydrogen (LH2) aircraft refuelling process, which is not a well- known process, that presents unique challenges in hazard identification”. One of several studies applying LLMs to safety… Continue reading Large language models powered system safety assessment: applying STPA and FRAM
Call Me A Jerk: Persuading AI to Comply with Objectionable Requests
Can LLMs be persuaded to act like d*cks? A really interesting study from Meincke et al. found human persuasion techniques also worked on LLMs. They tested how “classic persuasion principles like authority, commitment, and unity can dramatically increase an AI’s likelihood to comply with requests they are designed to refuse”. I’m drawing from their study… Continue reading Call Me A Jerk: Persuading AI to Comply with Objectionable Requests
Bullshit vs Botshit: what’s the difference?
A couple more extracts from Hannigan et al.’s paper on ‘botshit. Bullshit is “Human-generated content that has no regard for the truth, which a human then uses in communication and decision-making tasks”. Botshit is “Chatbot generated content that is not grounded in truth (i.e., hallucinations) and is then uncritically used by a human in communication… Continue reading Bullshit vs Botshit: what’s the difference?
AI, bullshitting and botshit
“LLMs are great at mimicry and bad at facts, making them a beguiling and amoral technology for bullshitting” From a paper about ‘botshit’ – summary in a couple of weeks. Source: Hannigan, T. R., McCarthy, I. P., & Spicer, A. (2024). Beware of botshit: How to manage the epistemic risks of generative chatbots. Business Horizons, 67(5), 471-486.… Continue reading AI, bullshitting and botshit
Mind the Gaps: How AI Shortcomings and Human Concerns May Disrupt Team Cognition in Human-AI Teams (HATs)
This study explored the integration and hesitations of AI embedded within human teams (Human-AI Teams, HATs). 30 professionals were interviewed. Not a summary, but some extracts: · “As AI takes on more complex roles in the workplace, it is increasingly expected to act as a teammate rather than just a tool” · HATs “must develop a shared… Continue reading Mind the Gaps: How AI Shortcomings and Human Concerns May Disrupt Team Cognition in Human-AI Teams (HATs)
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