Eksentricity

• AI Hype and Errors: AI hype leads to flawed research and misidentified discoveries, exacerbating issues in scientific fields.
• Leakage Pervasiveness: Errors like leakage affect 650+ papers across 30 disciplines, particularly in medical fields.
• Cultural and Methodological Issues: Reproducibility failures are driven by cultural and methodological issues, including publication biases and improper practices.

Impact

1. Flawed AI Research: AI hype perpetuates flawed research, misleading other researchers about AI capabilities.
2. Leakage Issues: Leakage errors are widespread and significantly impact the validity of AI-based research.
3. Reproducibility Crisis: AI exacerbates existing reproducibility crises, with many studies failing to share data and code.
4. Cultural Challenges: The publish-or-perish culture and bias for positive results hinder scientific progress and correction of faulty studies.
5. Potential for Improvement: Initiatives like the REFORMS checklist and cultural changes can mitigate AI-related research errors.

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