Measuring
(Dis)assembling the bill-of-materials list for measuring blood pressure on the wrist
More than a decade ago, I visited my local doctor’s office, suffering from either kidney stone or back-spasm pain (I don’t recall which; at the time, it could have been either, or both, for that matter). As usual, the assistant logged my height and weight on the hallway scale, then my blood pressure in the…
The Psychology Of Trust In AI: A Guide To Measuring And Designing For User Confidence — Smashing Magazine
When AI “hallucinates,” it’s more than just a glitch — it’s a collapse of trust. As generative AI becomes part of more digital products, trust has become the invisible user interface. But trust isn’t mystical. It can be understood, measured, and designed for. Here is a practical guide for designing more trustworthy and ethical AI…
Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision
Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…
Measuring perception in AI models
New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…