Study on medical data finds AI models can easily spread misinformation, even with minimal false input | Even 0.001% false data can disrupt the accuracy of large language models
Read Full Article
#AIEthics #MedicalData #Misinformation #DataIntegrity #AIinHealthcare
Read Full Article
#AIEthics #MedicalData #Misinformation #DataIntegrity #AIinHealthcare
Nature
Medical large language models are vulnerable to data-poisoning attacks
Nature Medicine - Large language models can be manipulated to generate misinformation by poisoning of a very small percentage of the data on which they are trained, but a harm mitigation strategy...
😁2👍1
AI tools may be weakening quality of published research 📉, with a surge in papers that look scientific but don’t hold up under scrutiny 🔍. Easily accessible datasets via APIs 📊 and large language models may have led to many post-2021 papers use a superficial and oversimplified approach to analysis 📄.
Read Full Article
#AITools #ResearchQuality #DataIntegrity #ScientificPublishing #CriticalThinking
Read Full Article
#AITools #ResearchQuality #DataIntegrity #ScientificPublishing #CriticalThinking
👍1😢1🤮1
Assessing the System-Instruction Vulnerabilities of Large Language Models to Malicious Conversion Into Health Disinformation Chatbots 🧠💻⚠️💊
Read Full Article
#HealthDisinformation #LanguageModels #AIEthics #MaliciousBots #DataIntegrity
Read Full Article
#HealthDisinformation #LanguageModels #AIEthics #MaliciousBots #DataIntegrity
Annals of Internal Medicine
Assessing the System-Instruction Vulnerabilities of Large Language Models to Malicious Conversion Into Health Disinformation Chatbots…
Large language models (LLMs) offer substantial promise for improving health care; however, some risks warrant evaluation and discussion. This study assessed the effectiveness of safeguards in foundational LLMs against malicious instruction into health disinformation…
Secret changes to major U.S. health datasets raise alarms 🚨 | A new study reports that more than 100 United States government health datasets were altered this spring without any public notice. 📊🔍
Read Full Article
#HealthData #Transparency #PublicHealth #DataIntegrity #GovernmentAccountability
Read Full Article
#HealthData #Transparency #PublicHealth #DataIntegrity #GovernmentAccountability
PsyPost
Secret changes to major U.S. health datasets raise alarms
A new Lancet study reveals that over 100 U.S. government health datasets were quietly altered in early 2025, raising alarms among researchers about transparency, political influence, and the reliability of data used in public health and social science research.
🤬3❤1🤔1🤮1
A comprehensive analysis of software package hallucinations by code generating LLMs found that 19.7% of the LLM recommended packages did not exist, with open-source models hallucinating far more frequently (21.7%) compared to commercial models (5.2%) 📊💻🔍
Read Full Article
#SoftwareHallucinations #CodeGeneration #LLMAnalysis #OpenSourceVsCommercial #DataIntegrity
Read Full Article
#SoftwareHallucinations #CodeGeneration #LLMAnalysis #OpenSourceVsCommercial #DataIntegrity
UTSA
UTSA researchers investigate AI threats in software development
Innovative Research
🤯1🥱1