 | The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others Once physicians began using it, their performance dropped significantly whenever the system was unavailable Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. 'There is no established solution against deskilling right now. It should be a very hot research topic in the next decade' Anthropic researchers designed a randomized controlled trial. During the exercise, all 52 participants could search the web and access instructions on how to do the task. Half of the participants were prompted to use an AI assistant as well Afterwards, all of the software engineers were asked to complete a quiz about what they had learnt from the task. The participants who had used an AI assistant did significantly worse on the quiz than those who hadn’t: the average score was 50% in the AI group versus 67% in the non-AI group The AI-assisted participants did particularly poorly on questions that required them to diagnose errors in the code, which suggests that they had failed to learn the concepts behind the code that they had just produced Other technologies have made particular skills obsolete in the past, notes Tapani Rinta-Kahila, an information-systems researcher at the University of Queensland in Brisbane, Australia. For example, GPS navigation systems have eroded people’s navigation skills. Generative AI tools, however, are 'he first technology that automates various cognitive faculties around thinking and interpretation, which were long considered unique human skills [link] [comments] |
Predictive technology: computational social science
