Back to News

FDA's New Drug Approval AI Is Generating Fake Studies: Report

Hacker News - AI
Jul 24, 2025 00:53
pseudolus
1 views
hackernewsaidiscussion

Summary

A new report reveals that the FDA's AI system, used for drug approval processes, has been generating fake scientific studies. This raises serious concerns about the reliability of AI-generated data in critical healthcare decisions and highlights the urgent need for stricter oversight and validation of AI tools in regulatory environments.

Article URL: https://gizmodo.com/fdas-new-drug-approval-ai-is-generating-fake-studies-report-2000633153 Comments URL: https://news.ycombinator.com/item?id=44665696 Points: 1 # Comments: 0
Read Full ArticleMore News

Related Articles

Best AI Coding Assistants

Analytics InsightJul 25

The article reviews top AI coding assistants, such as GitHub Copilot, Amazon CodeWhisperer, and Tabnine, highlighting their capabilities in code generation, error detection, and productivity enhancement. It notes that these tools are transforming software development by automating routine tasks and supporting developers, signaling a significant shift toward AI-augmented programming in the tech industry.

Sam Altman Issues AI Warning: Millions of Jobs are at Risk

Analytics InsightJul 25

OpenAI CEO Sam Altman has warned that advances in artificial intelligence could put millions of jobs at risk, emphasizing the need for society to prepare for significant workforce disruptions. He highlighted both the transformative potential and the challenges posed by AI, urging policymakers to address the economic and social impacts of rapid automation. This underscores growing concerns within the AI field about balancing innovation with responsible deployment.

Designing for humans: Why most enterprise adoptions of AI fail

Hacker News - AIJul 25

Many enterprise AI projects fail because they overlook human-centered design, resulting in tools that are difficult for employees to use or integrate into workflows. The article emphasizes that successful AI adoption requires understanding user needs and ensuring technology complements, rather than complicates, human tasks—highlighting the importance of user experience in the future of enterprise AI.