LONDON, July 9, 2024 / AgilityPR-AsiaNet / --
Elsevier's survey of 3,000 researchers and doctors shows willingness to use AI in their daily work, with clear differences in attitude between the US, China and India.
Artificial intelligence (AI) is expected to transform research and healthcare, but adoption of AI for work use remains low, as does use of even the most popular AI platforms such as Bard and ChatGPT, according to a study. new study from Elsevier, a world leader in scientific research. analysis of information and data. The Insights 2024: Attitudes toward AI report, based on a survey of 3,000 researchers and clinicians in 123 countries, reveals that both groups believe AI has the greatest potential to accelerate knowledge discovery, increase work quality and save costs However, to maximize the use of AI, both groups are clear about the specific concerns that need to be addressed: they want assurances of quality content, trust, and transparency before integrating AI tools into their daily work.
In particular, most doctors and researchers familiar with AI said they believe in the potential of AI to help them and their organizations in their work:
• 94% of researchers and 96% of doctors believe that AI will help accelerate knowledge discovery.• 92% of researchers and 96% of doctors believe that it will help rapidly increase the volume of research academic and medical.
• 92% of researchers and clinicians anticipate cost savings for institutions and companies.
• 87% believe it will help increase the quality of work overall. • 85% of both groups believe AI will free up time to focus on higher-value projects.
However, both groups of respondents fear that a further rise in misinformation could affect critical decisions:
• 95% of researchers along with 93% of doctors believe that AI will be used to misinform. • 86% of researchers and 85% of doctors believe that AI could cause critical errors, while a A similar proportion expressed concern that AI will lead to weakened critical thinking.
• 81% of researchers are concerned that AI will erode critical thinking, and 82% of physicians express concern that doctors will become too reliant on AI to make clinical decisions.
• 79% of doctors and 80% of researchers believe that AI will disrupt society. Researchers and doctors expect tools to be based on high-quality, reliable content and want transparency about the use of AI generative:
• If AI tools are backed by trusted content, quality checks, and responsible AI principles, 89% of researchers who believe AI can benefit their work would use it to generate a synthesis of articles, while 94% of doctors who believe that AI can benefit their work. Labor said they would employ AI to assess symptoms and identify conditions or diseases.
• Transparency is key. 81% of researchers and clinicians expect to be told if the tools they use rely on generative AI.• 71% expect results from generative AI-dependent tools to be based only on high-quality, trusted sources.
• 78% of researchers and 80% of clinicians expect to be informed if the peer review recommendations they receive on manuscripts use generative AI.
The findings also reveal different attitudes among researchers and clinicians in the world's three major research-generating nations: the United States, China and India:• Of those familiar with AI, more than half (54%) have actively used it and just under a third (31%) for a specific work-related purpose. This is highest in China (39%) and lowest in India (22%).
• Only 11% of respondents consider themselves very familiar with AI or use it frequently. 67% of those who have not used AI expect to do so within two to five years, with China (83%) and India (79%) significantly outpacing the US (53%).
• American respondents are less likely to feel positive about the future impact of AI in their workplace: 28% in the US versus 46% in China and 41% in India. Researchers and doctors in China, India and the United States who believe AI would help them in their work are more closely aligned, although still with some difference in the likelihood that they will use a reliable AI assistant to review previous studies, identify gaps in knowledge and generate a new hypothesis research to test. Respondents in India had a 100% chance, China 96%, and the United States 84%.
Kieran West, executive vice president of strategy at Elsevier, said: “AI has the potential to transform many aspects of our lives, including research, innovation and healthcare – all vital drivers of social progress. As it becomes more integrated into our daily lives and continues to advance at a rapid pace, its adoption is expected to increase. Researchers and doctors around the world tell us that they want to adopt it to help their profession and their work, but not at the cost of ethics, transparency and accuracy. They have indicated that high-quality, verified information, responsible development and transparency are critical to building trust in AI tools and alleviating concerns about misinformation and inaccuracy. “This report suggests some steps that should be taken to build trust and use of the AI tools of today and tomorrow.”
For more than a decade, Elsevier has been using AI and machine learning technologies in combination with our world-class peer-reviewed content, extensive data sets, and expert human oversight to create products that help the life sciences, research, and research communities. and medical care to be more effective. every day. We do this in accordance with Elsevier's Responsible AI Principles and Privacy Principles and in collaboration with our communities to ensure our solutions help them achieve their goals. By incorporating generative AI into our offerings, we aim to make it easier and more intuitive for customers to find the information they can trust to accelerate scientific discovery, empower collaboration, and transform patient care. For all the findings from the Insights 2024: Attitudes Toward AI study, including additional insights from researchers and clinicians, visit elsevier.com/insights/attitudes-toward-ai or contact the media representative listed at the top of this release.
About Elsevier
As a global leader in scientific information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making with innovative solutions based on trusted, evidence-based content and advanced AI-enabled digital technologies. We have supported the work of our research and healthcare communities for more than 140 years. Our 9,500 employees worldwide, including 2,500 technologists, are dedicated to supporting researchers, librarians, academic leaders, funders, governments, R&D-intensive companies, physicians, nurses, future healthcare professionals, and educators in their critical work. . Our 2,900 iconic scientific journals and reference books feature the leading titles in their fields, including Cell Press, The Lancet, and Gray's Anatomy.
Together with the Elsevier Foundation, we work in partnership with the communities we serve to advance inclusive health and research within our own organization and around the world.
Elsevier is part of RELX (https://www.relx.com/), a global provider of insight-driven analytics and decision-making tools for professional and enterprise clients. To learn more about our work, digital solutions and content, visit www.elsevier.com/.
Elsevier's survey of 3,000 researchers and doctors shows willingness to use AI in their daily work, with clear differences in attitude between the US, China and India.
Artificial intelligence (AI) is expected to transform research and healthcare, but adoption of AI for work use remains low, as does use of even the most popular AI platforms such as Bard and ChatGPT, according to a study. new study from Elsevier, a world leader in scientific research. analysis of information and data. The Insights 2024: Attitudes toward AI report, based on a survey of 3,000 researchers and clinicians in 123 countries, reveals that both groups believe AI has the greatest potential to accelerate knowledge discovery, increase work quality and save costs However, to maximize the use of AI, both groups are clear about the specific concerns that need to be addressed: they want assurances of quality content, trust, and transparency before integrating AI tools into their daily work.
In particular, most doctors and researchers familiar with AI said they believe in the potential of AI to help them and their organizations in their work:
• 94% of researchers and 96% of doctors believe that AI will help accelerate knowledge discovery.• 92% of researchers and 96% of doctors believe that it will help rapidly increase the volume of research academic and medical.
• 92% of researchers and clinicians anticipate cost savings for institutions and companies.
• 87% believe it will help increase the quality of work overall. • 85% of both groups believe AI will free up time to focus on higher-value projects.
However, both groups of respondents fear that a further rise in misinformation could affect critical decisions:
• 95% of researchers along with 93% of doctors believe that AI will be used to misinform. • 86% of researchers and 85% of doctors believe that AI could cause critical errors, while a A similar proportion expressed concern that AI will lead to weakened critical thinking.
• 81% of researchers are concerned that AI will erode critical thinking, and 82% of physicians express concern that doctors will become too reliant on AI to make clinical decisions.
• 79% of doctors and 80% of researchers believe that AI will disrupt society. Researchers and doctors expect tools to be based on high-quality, reliable content and want transparency about the use of AI generative:
• If AI tools are backed by trusted content, quality checks, and responsible AI principles, 89% of researchers who believe AI can benefit their work would use it to generate a synthesis of articles, while 94% of doctors who believe that AI can benefit their work. Labor said they would employ AI to assess symptoms and identify conditions or diseases.
• Transparency is key. 81% of researchers and clinicians expect to be told if the tools they use rely on generative AI.• 71% expect results from generative AI-dependent tools to be based only on high-quality, trusted sources.
• 78% of researchers and 80% of clinicians expect to be informed if the peer review recommendations they receive on manuscripts use generative AI.
The findings also reveal different attitudes among researchers and clinicians in the world's three major research-generating nations: the United States, China and India:• Of those familiar with AI, more than half (54%) have actively used it and just under a third (31%) for a specific work-related purpose. This is highest in China (39%) and lowest in India (22%).
• Only 11% of respondents consider themselves very familiar with AI or use it frequently. 67% of those who have not used AI expect to do so within two to five years, with China (83%) and India (79%) significantly outpacing the US (53%).
• American respondents are less likely to feel positive about the future impact of AI in their workplace: 28% in the US versus 46% in China and 41% in India. Researchers and doctors in China, India and the United States who believe AI would help them in their work are more closely aligned, although still with some difference in the likelihood that they will use a reliable AI assistant to review previous studies, identify gaps in knowledge and generate a new hypothesis research to test. Respondents in India had a 100% chance, China 96%, and the United States 84%.
Kieran West, executive vice president of strategy at Elsevier, said: “AI has the potential to transform many aspects of our lives, including research, innovation and healthcare – all vital drivers of social progress. As it becomes more integrated into our daily lives and continues to advance at a rapid pace, its adoption is expected to increase. Researchers and doctors around the world tell us that they want to adopt it to help their profession and their work, but not at the cost of ethics, transparency and accuracy. They have indicated that high-quality, verified information, responsible development and transparency are critical to building trust in AI tools and alleviating concerns about misinformation and inaccuracy. “This report suggests some steps that should be taken to build trust and use of the AI tools of today and tomorrow.”
For more than a decade, Elsevier has been using AI and machine learning technologies in combination with our world-class peer-reviewed content, extensive data sets, and expert human oversight to create products that help the life sciences, research, and research communities. and medical care to be more effective. every day. We do this in accordance with Elsevier's Responsible AI Principles and Privacy Principles and in collaboration with our communities to ensure our solutions help them achieve their goals. By incorporating generative AI into our offerings, we aim to make it easier and more intuitive for customers to find the information they can trust to accelerate scientific discovery, empower collaboration, and transform patient care. For all the findings from the Insights 2024: Attitudes Toward AI study, including additional insights from researchers and clinicians, visit elsevier.com/insights/attitudes-toward-ai or contact the media representative listed at the top of this release.
About Elsevier
As a global leader in scientific information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making with innovative solutions based on trusted, evidence-based content and advanced AI-enabled digital technologies. We have supported the work of our research and healthcare communities for more than 140 years. Our 9,500 employees worldwide, including 2,500 technologists, are dedicated to supporting researchers, librarians, academic leaders, funders, governments, R&D-intensive companies, physicians, nurses, future healthcare professionals, and educators in their critical work. . Our 2,900 iconic scientific journals and reference books feature the leading titles in their fields, including Cell Press, The Lancet, and Gray's Anatomy.
Together with the Elsevier Foundation, we work in partnership with the communities we serve to advance inclusive health and research within our own organization and around the world.
Elsevier is part of RELX (https://www.relx.com/), a global provider of insight-driven analytics and decision-making tools for professional and enterprise clients. To learn more about our work, digital solutions and content, visit www.elsevier.com/.
