Clinical Report: Are Researchers Learning to Trust AI?

Overview

The Elsevier report reveals that 58% of researchers are now using AI, a significant increase from 37% in early 2024. Despite this adoption, only 22% consider AI trustworthy, indicating a need for improved training and transparency.

Background

The integration of AI in research is rapidly evolving, with significant implications for drug development and scientific inquiry. Understanding researchers' confidence in AI tools is crucial for fostering effective collaboration between human expertise and artificial intelligence.

Data Highlights

58% of researchers use AI for work, up from 37% in early 2024. Only 22% find AI trustworthy.

Key Findings

• 58% of researchers are using AI for work, up from 37% in early 2024.
• 22% of researchers consider AI trustworthy.
• 61% believe AI will drive new knowledge within two to three years.
• Data synthesis is a key area where AI is making a significant impact in drug discovery.
• AI tools must cite sources and be trained on current literature to build trust.
• Researchers express a need for improved training on AI usage.
• AI is evolving from an assistive tool to a potential active research partner.

Clinical Implications

Researchers need to prioritize transparency and evidence-based practices in AI tools to enhance trust. Training programs should be developed to equip researchers with the necessary skills to effectively utilize AI in their workflows.

Conclusion

The findings from the Elsevier report highlight the growing adoption of AI among researchers, alongside persistent concerns about trust and reliability.

Related Resources & Content

1. Elsevier, Researcher of the Future: a Confidence in Research report, 2024 -- Are Researchers Learning to Trust AI?
2. the asco post — Most People Trust AI Less Than Physicians, Survey Finds
3. Journal of Medical Internet Research (JMIR) — Clinical AI is Not (Yet) Trustworthy-But It Could Be
4. aace endocrine ai — Medical AI: What shapes patient trust?
5. asco ai in oncology — Survey Finds Most People Trust AI Less Than Physicians, But See Its Potential for Cancer Diagnosis
6. Most People Trust AI Less Than Physicians, Survey Finds
7. Clinical AI is Not (Yet) Trustworthy-But It Could Be
8. Medical AI: What shapes patient trust?
9. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
10. Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial - PubMed
11. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare | The BMJ