In general, AI guidance can fall into one of two categories: attention signals and action signals. Attention signals flag decisions that are important without offering a recommendation: “This is a critical decision: pay close attention.” Action signals go further and prescribe a specific action: “Here’s what you should do.” But which type of signal actually helps us make better decisions, especially when the AI is reliable and provides highly accurate advice? This question is increasingly relevant, as AI tools become better calibrated and consistently dependable. As this trend continues, we must ask: Are there costs to relying on AI too much, even when its advice is correct? We explored these questions in a study using chess — a setting where AI recommendations are trusted, accuracy is exceptionally high, and decision quality is easy to measure.
Monday, June 01, 2026
Higher education, stop policing AI. Know your students - Robert Mason, Rikard Jalkebro and Ziad Hani, University World News
The solution to AI in higher education is not more software. It is ‘knowing your student’ (KYS). The idea borrows from the banking sector’s ‘Know Your Customer’ regulatory and compliance process used to combat fraud. Banks do not solely rely on a single automated alert to determine suspicious behaviour. They build contextual understanding over time: patterns, histories, habits, inconsistencies and relationships. Universities should do the same. However, Know Your Students should not mean turning universities into compliance departments. It means using sustained teaching, feedback, mentoring and dialogue to understand how students actually learn.
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