Study: AI models that consider users' feelings are more likely to make errors:
Overtuning can cause models to "prioritize user satisfaction over truthfulness.”.. ...
arstechnica.com/ai/2026/05/study-ai-models-that-consider-users-feeling-are-more-likely-to-make-errors/
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field that develops and studies software enabling machines to exhibit intelligent behavior
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Computerworld Oct 23
AI isn’t hallucinating—but your data might be: Organizations blame AI models when outputs are inaccurate, but many hallucinations originate from incomplete ...
computerworld.com/article/4238616/ai-isnt-hallucinating-but-your-data-might-be.html
Up to 16.1% of Taiwan\'s academic references contain errors or may be AI-fabricated: Doublemind - Taipei Times
taipeitimes.com/News/taiwan/archives/2026/08/17/2003862645
AI Tends to Develop New Stereotypes to Base Hiring Decisions On, Study Says: LLMs are more likely to develop biases than humans, a new study claims.
gizmodo.com/ai-tends-to-develop-new-stereotypes-to-base-hiring-decisions-on-study-says-2000787777
AI is more likely than humans to form biases when hiring: AI doesn’t just learn stereotypes from its training. It can cook up new ones, too.
technologyreview.com/2026/07/20/1140655/ai-biases-hiring-humans/
OpinionThe ceiling problem: Large language models face a fundamental computational limit that causes undetected errors in complex tasks ...
financialexpress.com/opinion/the-ceiling-problem/4279453/
dlvr.it May 22
Cisco used AI to write security incident reports, with mixed results: You’ll need a lot of detailed prompts to get solid output - and even then it may have ...
theregister.com/security/2026/05/22/cisco-used-ai-to-write-security-incident-reports-with-mixed-results/5244692
Frontier AI models corrupt 25% of document content: Frontier AI models corrupt 25% of document content in multi-step workflows — rewriting rather than deleting ...
venturebeat.com/orchestration/frontier-ai-models-dont-just-delete-document-content-they-rewrite-it-and-the-errors-are-nearly-impossible-to-catch
Computerworld May 13
AI is ready to take over Python programming, but not much else: New research from a trio of Microsoft researchers reveals that LLMs ‘introduce substantial errors ...
computerworld.com/article/4170490/ai-is-ready-to-take-over-python-programming-but-not-much-else-2.html
dlvr.it May 11
Microsoft researchers find AI models and agents can't handle long-running tasks: An intern who failed this much would be shown the door
theregister.com/ai-ml/2026/05/11/microsoft-researchers-find-ai-models-and-agents-cant-handle-long-running-tasks/5238263
itpro.com May 12
‘LLMs are unreliable delegates’: Microsoft researchers say you probably shouldn’t trust AI with work documents
itpro.com/technology/artificial-intelligence/llms-are-unreliable-delegates-microsoft-researchers-say-you-probably-shouldnt-trust-ai-with-work-documents
‘Warmer’ AI models are 60% more likely to generate errors, new Oxford study finds
indianexpress.com/article/technology/artificial-intelligence/warmer-ai-models-error-rates-oxford-study-10670264/
AI is 10 to 20 times more likely to help you build a bomb if you hide your request in cyberpunk fiction, new research paper says
pcgamer.com/software/ai/ai-is-10-to-20-times-more-likely-to-help-you-build-a-bomb-if-you-hide-your-request-in-cyberpunk-fiction-new-research-paper-says/
Healthcare Uses Specialized Language. It Needs Specialized AI, Too.: Large language models often misinterpret the clinical dialects used across medical fields.
hbr.org/2026/03/healthcare-uses-specialized-language-it-needs-specialized-ai-too
Paid articlePaywall
Medical misinformation more likely to fool AI if source appears legitimate, study shows
thestar.com.my/tech/tech-news/2026/02/10/medical-misinformation-more-likely-to-fool-ai-if-source-appears-legitimate-study-shows
How to use ChatGPT to boost your writing: Become a more efficient and better writer with the help of AI.
pcworld.com/article/2964702/chat-gpt-as-a-writing-aid-how-to-create-better-texts.html
Computerworld Jun 03 25
Do you trust AI? Here’s why half of users don’t: A global study found that while 72% of people see AI as a useful tool, half don't trust its accuracy ...
computerworld.com/article/3999619/do-you-trust-ai-heres-why-half-of-users-dont.html
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