Who would you trust more for medical advice – your doctor or an AI chatbot? I think most people would say their doctor. Interesting, some new research has found AI LLMs to outperform doctors on a range of recall knowledge tests – and sometimes quite significantly so. Though, of course, this is largely based on… Continue reading Your Doctor vs AI Chatbot – who do you trust more for medical advice?
Tag: ai
Tuning into whispered frequencies: Harnessing Large Language Models to detect Weak Signals in complex socio-technical systems
This study evaluated whether LLMs can support a scaled and systematic analysis of surveyed data about worker adaptive practices, to foster weak signal ID. E.g. can LLMs help identify weak signals from large-scale data. In this case, textual data describing frontline personnel adaptive behaviours during everyday operations. This was obtained via survey. PS. Check out… Continue reading Tuning into whispered frequencies: Harnessing Large Language Models to detect Weak Signals in complex socio-technical systems
How is AI changing the nature of work?
What can we learn about how AI changes work based on >180k GitHub users? Turns out, quite a lot. AI induces people to shift task allocation towards their core work and away from non-core, project management activities. #ai #chatgpt #github #work #llm #artificialintelligence
Safer Systems: People Training or System Tuning?
Hollnagel discusses the role of training in complex systems. Shared under open access licence. PS. Check out my YouTube channel: Safe As: A thrifty analysis of safety, AI and risk – YouTube Extracts:· “Safety is usually seen as a problem when it is absent rather than when it is present, where accidents, incidents, and the like… Continue reading Safer Systems: People Training or System Tuning?
Does using AI make us smarter, or just more confident?
Does using AI make us smarter, or just more confident? This ep covers a recent study on how generative AI affects our “metacognition” – our ability to judge our own performance. Researchers tracked hundreds of people solving logical reasoning problems with and without AI.
Generative artificial intelligence adoption and managerial well-being in construction organizations
Can GenAI improve workplace well-being and work-life balance? Perhaps. This survey study of 261 construction industry managerial professionals in Nigeria provided insights. PS. Check out my YouTube channel – link in comments. Findings: · “findings reveal a strong and positive association between GenAI adoption and both dimensions of managerial well-being” · “Predictive scheduling, documentation automation, and design… Continue reading Generative artificial intelligence adoption and managerial well-being in construction organizations
Improving Construction Site Safety with Large Language Models: A Performance Analysis
This preliminary, proof of concept study explored the effectiveness of GPT-4o in construction visual hazard recognition. They contrasted performance against OHS experts. Source was **static images** from Google and real construction sites (not real-time video analysis). The LLM & experts were asked to rate the hazard, justify their judgement, and assess the immediate issues, use… Continue reading Improving Construction Site Safety with Large Language Models: A Performance Analysis
Safe As: Can AI make your doctors worse at their job?
Can #AI make your doctor worse at their job? This multicentre study compared physician ADR (Adenoma Detection Rate) before and after AI-assisted detection – and then after removing the AI-assistance. What do you think – will the overall benefits of AI overweigh the negative and unintended skill drops of people? (*** Please subscribe, like and… Continue reading Safe As: Can AI make your doctors worse at their job?
AI: Structural vs Algorithmic Hallucinations
#AI: Structural vs Algorithmic Hallucinations There’s several typologies that have sorted different types of hallucinations – this is just one I recently saw. This suggests that structural hallucinations are an inherent part of the mathematical and logical structure of the #LLM, and not a glitch or bad prompt. LLMs are probabilistic engines, with no understanding… Continue reading AI: Structural vs Algorithmic Hallucinations
AI deception: A survey of examples, risks, and potential solutions
This study explored how “a range of current AI systems have learned how to deceive humans”. Extracts: · “One part of the problem is inaccurate AI systems, such as chatbots whose confabulations are often assumed to be truthful by unsuspecting users” · “It is difficult to talk about deception in AI systems without psychologizing them. In humans,… Continue reading AI deception: A survey of examples, risks, and potential solutions
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