Overreliance on AI programs may undermine confidence at work, study finds

Relying on AI to complete work duties may not be diminishing our cognitive abilities, but it can undermine confidence in our own independent reasoning and perceived ownership of ideas, according to research published in Technology, Mind, and Behavior.Relying on AI to complete work duties may not be diminishing our cognitive abilities, but it can undermine confidence in our own independent reasoning and perceived ownership of ideas, according to research published in Technology, Mind, and Behavior.Machine learning & AI[#item_full_content]

A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and help individuals better prompt generative AI tools to produce more inclusive content, according to researchers at Penn State and Oregon State University.A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and help individuals better prompt generative AI tools to produce more inclusive content, according to researchers at Penn State and Oregon State University.[#item_full_content]

A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and help individuals better prompt generative AI tools to produce more inclusive content, according to researchers at Penn State and Oregon State University.A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and help individuals better prompt generative AI tools to produce more inclusive content, according to researchers at Penn State and Oregon State University.Computer Sciences[#item_full_content]

The same ChatGPT chatbot that gave OpenAI’s chief financial officer Sarah Friar a tilapia recipe for a recent Sunday night dinner at home is also now doing her most mundane tasks at work like summarizing her emails and Slack messages.The same ChatGPT chatbot that gave OpenAI’s chief financial officer Sarah Friar a tilapia recipe for a recent Sunday night dinner at home is also now doing her most mundane tasks at work like summarizing her emails and Slack messages.Machine learning & AI[#item_full_content]

At some point in the next several months, I am hoping to receive a modest check as a member of the class covered in the class-action settlement Bartz v. Anthropic.At some point in the next several months, I am hoping to receive a modest check as a member of the class covered in the class-action settlement Bartz v. Anthropic.Machine learning & AI[#item_full_content]

When people ask ChatGPT and other AI models for advice, they often share deeply personal details in hopes of getting better answers: their age, their gender, their mental health history, even medical diagnoses like autism. But new Virginia Tech research suggests those disclosures may change AI models’ advice in ways that track closely with common stereotypes about people with autism. Up to 70% of the time, AI discourages those with autism to avoid socializing. Some users disapproved of that in strong terms.When people ask ChatGPT and other AI models for advice, they often share deeply personal details in hopes of getting better answers: their age, their gender, their mental health history, even medical diagnoses like autism. But new Virginia Tech research suggests those disclosures may change AI models’ advice in ways that track closely with common stereotypes about people with autism. Up to 70% of the time, AI discourages those with autism to avoid socializing. Some users disapproved of that in strong terms.Consumer & Gadgets[#item_full_content]

In today’s manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, but also reprogramming tasks. Even when two robots are built to perform similar jobs, different joint arrangements or movement limits mean that a task programmed for one robot often can’t be used on another. Enabling skills to transfer directly between robots could make these systems more sustainable and cost-efficient.In today’s manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, but also reprogramming tasks. Even when two robots are built to perform similar jobs, different joint arrangements or movement limits mean that a task programmed for one robot often can’t be used on another. Enabling skills to transfer directly between robots could make these systems more sustainable and cost-efficient.Robotics[#item_full_content]

In today’s manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, but also reprogramming tasks. Even when two robots are built to perform similar jobs, different joint arrangements or movement limits mean that a task programmed for one robot often can’t be used on another. Enabling skills to transfer directly between robots could make these systems more sustainable and cost-efficient.In today’s manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, but also reprogramming tasks. Even when two robots are built to perform similar jobs, different joint arrangements or movement limits mean that a task programmed for one robot often can’t be used on another. Enabling skills to transfer directly between robots could make these systems more sustainable and cost-efficient.[#item_full_content]

AI chatbot teaches AI ‘student’ to love owls, even after data is scrubbedon April 15, 2026 at 3:40 pm

Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been scrubbed of the original trait, according to new research published in Nature. In one example, a model seems to transmit a preference for owls to other models via hidden signals in data. The findings demonstrate that more thorough safety checks are needed when producing LLMs.Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been scrubbed of the original trait, according to new research published in Nature. In one example, a model seems to transmit a preference for owls to other models via hidden signals in data. The findings demonstrate that more thorough safety checks are needed when producing LLMs.[#item_full_content]

AI chatbot teaches AI ‘student’ to love owls, even after data is scrubbed

Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been scrubbed of the original trait, according to new research published in Nature. In one example, a model seems to transmit a preference for owls to other models via hidden signals in data. The findings demonstrate that more thorough safety checks are needed when producing LLMs.Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been scrubbed of the original trait, according to new research published in Nature. In one example, a model seems to transmit a preference for owls to other models via hidden signals in data. The findings demonstrate that more thorough safety checks are needed when producing LLMs.Computer Sciences[#item_full_content]

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