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Outsourcing our brains and consuming an endless feed of slop is not beneficial to us.
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple.
Aruna Ranganathan, Xingqi Maggie Ye | HBR
Publication Date: February 9, 2026
Questions about who’s developing AI and for what purposes make it all the more essential to understand its potential downsides. This article takes a closer look at the possible dangers of artificial intelligence and explore how to manage its risks. (i.e. automation-spurred job loss, deepfakes, privacy violations, military automatisation).
Mike Thomas | BuiltIn
Publication Date: January 28, 2026
In the first of our three-part blog series on the dodgy digital security practices underlying advanced artificial intelligence (AI) tools, we unpack how large-language models (LLMs) can jeopardize the confidentiality of people’s data.
Daniel Leufer, Namrata Maheshwari, Vlad | Access Now
Publication Date: February 16, 2026