Insights 2024: Attitudes toward AI
Discover what researchers and clinicians around the world think about the use of AI in their work.
The rapid evolution of generative artificial intelligence (GenAI) has brought with it a wave of expectations, opportunities and concerns in all sectors. In research and health, the promise of accelerated discovery, increased output and improved patient care is matched by an expressed need for transparency, trust and quality content.
Our report Insights 2024: Attitudes toward AI brings together the views of nearly 3,000 researchers and healthcare professionals around the world. Their feedback reveals a clear appetite for adopting AI tools in their work, but also shows differing attitudes among respondents from the world’s top three research-generating countries, the US, China and India.
Discover the Attitudes toward AI report
Our report Insights 2024: Attitudes toward AI brings together the views of nearly 3,000 researchers, healthcare professionals, librarians and academic leaders around the world. Their feedback reveals a clear appetite for adopting AI tools in their work, but also shows differing attitudes among respondents from the world’s top three research-generating countries: the US, China and India.
Attitudes on AI: Key findings
Clinicians and researchers believe AI tools can help
Researchers and clinicians recognize the growing potential of AI tools, and if they’re not already using them, most expect to do so in the coming two to five years.
94% of researchers and 96% of clinicians think AI will help accelerate knowledge discovery
87% think it will help increase work quality overall
85% of both groups believe AI will help free up time to focus on higher value projects
The importance of trusted content
Respondents were clear that if the benefits of AI tools were to be realized, the tools themselves must be based on high quality, trusted content.
71% expect generative AI dependent tools’ results be based on high quality trusted sources only
If AI tools are backed by trusted content, quality controls and responsible AI principles, 89% of researchers would use such tools to generate a synthesis of articles, while 94% of clinicians said they would employ AI to assess symptoms and identify conditions or diseases
Researchers and clinicians are wary of misinformation
If organizations are to benefit from AI tools, they will need to understand the factors that build researchers’ and clinicians’ trust in AI tools, and their comfort using them.
95% of researchers along with 93% of clinicians believe AI will be used for misinformation
86% of researchers and 85% of clinicians believe AI will cause critical errors, while a similar ratio expressed concern about AI leading to weakened critical thinking
79% of clinicians and 80% of researchers believe AI will cause disruption to society
Focused analyses
As part of our Attitudes toward AI initiative, we also explored diverse professional perspectives on AI. In these focused analyses, you will discover how:
Researchers expect AI to boost output but demand transparency
Clinicians see productivity gains, but worry about impacts on decision-making
Corporate researchers find benefits in AI, including GenAI, but stress transparency
Librarians observe AI's evolving academic applications and its risks
Academic leaders discuss AI's transformative potential and challenges in research and education
Discover AI's impact across these fields.
Attitudes toward AI focused analyses
More information
At Elsevier, we bring together trusted content, human expertise and responsibly applied AI technologies to help researchers, educators and healthcare professionals worldwide advance discovery, innovation and patient care.
Databooks available for download
Researcher: Attitudes toward AI databook 打開新的分頁／視窗
Clinician of the Future: Attitudes toward AI databook 打開新的分頁／視窗