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
Tag: artificial-intelligence
Knowledge in the head vs the world: And how to design for cognition. Norman – Design of Everyday Things
Here Don Norman discusses knowledge in the head vs knowledge in the world – from The Design of Everyday Things. Extracts:· “Every day we are confronted by numerous objects, devices, and services, each of which requires us to behave or act in some particular manner. Overall, we manage quite well” · “Our knowledge is often quite incomplete,… Continue reading Knowledge in the head vs the world: And how to design for cognition. Norman – Design of Everyday Things
The literacy paradox: How AI literacy amplifies biases in evaluating AI-generated news articles
This study explored how AI literacy can amplify biases when evaluating AI-generated news based on their content type (data-driven vs emotional). Extracts: · “Higher AI literacy can intensify opposing biases. When individuals better understand the use of AI in creating data-driven articles, they exhibit automation bias… Conversely, when AI generates opinion- or emotion-based articles, high literacy… Continue reading The literacy paradox: How AI literacy amplifies biases in evaluating AI-generated news articles
Large Language Models in Lung Cancer: Systematic Review
This systematic review of 28 studies explored the application of LLMs for lung cancer care and management. Probably few surprises here. And it’s focused mostly on LLMs, rather than specialised AI models. Extracts: · The review identified 7 primary application domains of LLMs in LC: auxiliary diagnosis, information extraction, question answering, scientific research, medical education, nursing… Continue reading Large Language Models in Lung Cancer: Systematic Review
Safe As week in review: Ineffectiveness of individual mental health interventions / Fatigue risk via defences in depth / AI LLMs are BS’ing you
Safe As covered this week: 31: Do individual mental health interventions work? Maybe not. Do individual level mental health interventions, like personal resilience training, yoga, fruit bowls and training actually improve measures of mental health? This study suggests not. Using survey data from >46k UK workers, it was found that workers who participated in individual-level… Continue reading Safe As week in review: Ineffectiveness of individual mental health interventions / Fatigue risk via defences in depth / AI LLMs are BS’ing you
Practice With Less AI Makes Perfect: Partially Automated AI During Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition
How does AI use in training improve, or impact, skill acquisition? This study manipulated training protocols with varying levels of AI decision-making automation, among 102 participants during a quality control task. Extracts: · “Partial automation led to the most positive outcomes” · “Participants who were trained with the fully automated version of the AIEDS had a significantly… Continue reading Practice With Less AI Makes Perfect: Partially Automated AI During Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition
Safe As 33: Is ChatGPT bullsh** you? How Large Language models aim to be convincing rather than truthful
Large Language Models, like ChatGPT have amazing capabilities. But are their responses, aiming to be convincing human text, more indicative of BS? That is, responses that are indifferent to the truth? If they are, what are the practical implications? Today’s paper is: Hicks, M. T., Humphries, J., & Slater, J. (2024). ChatGPT is bullshit. Ethics and… Continue reading Safe As 33: Is ChatGPT bullsh** you? How Large Language models aim to be convincing rather than truthful
Can chatbots provide more social connection than humans?
Can chatbots provide more social connection than humans? Possibly, providing that they don’t “claim too much humanity”. Three study protocols with 801, 201 and 401 had participants engage with AI social chatbots. They note that the long-term consequences of social chatbot use is unknown, but is important to study since “hundreds of millions of people… Continue reading Can chatbots provide more social connection than humans?
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
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