Wiley Identifies Emerging AI Research Applications in New Study, Announces Forthcoming Guidelines for Authors
Wiley (NYSE: WLY) has released ExplanAItions, a comprehensive study analyzing AI applications in research processes based on feedback from nearly 5,000 researchers worldwide. The study reveals that while current AI use is to core tasks, researchers expect significant expansion in AI applications within two years.
Key findings show that China (59%) and Germany (57%) lead in AI adoption for research compared to 44% globally. Over 60% of researchers cite lack of guidelines and training as barriers to increased AI use. Computer Science and Medicine show the highest early AI adoption rates at 44% and 38% respectively. Approximately 70% of researchers want publishers to provide guidelines on acceptable AI uses in scholarly research.
In response, Wiley is developing AI guidelines for authors to address ethical, practical, and technical challenges in AI usage. The company is also advancing various AI initiatives including the Wiley AI Partnerships: A Co-Innovation Program and establishing Wiley's AI Principles.
Wiley (NYSE: WLY) ha pubblicato ExplanAItions, uno studio completo che analizza le applicazioni dell'IA nei processi di ricerca, basato su feedback da quasi 5.000 ricercatori in tutto il mondo. Lo studio rivela che, mentre l'uso attuale dell'IA è limitato a compiti core, i ricercatori si aspettano un'espansione significativa delle applicazioni dell'IA entro due anni.
I risultati chiave mostrano che la Cina (59%) e la Germania (57%) sono in testa nell'adozione dell'IA per la ricerca rispetto al 44% a livello globale. Oltre il 60% dei ricercatori cita la mancanza di linee guida e formazione come ostacoli all'aumento dell'uso dell'IA. Le discipline Computer Science e Medicina mostrano i tassi di adozione iniziali dell'IA più elevati, rispettivamente del 44% e del 38%. Circa il 70% dei ricercatori desidera che gli editori forniscano linee guida sull'uso accettabile dell'IA nella ricerca accademica.
In risposta, Wiley sta sviluppando linee guida sull'IA per gli autori per affrontare le sfide etiche, pratiche e tecniche nell'uso dell'IA. L'azienda sta anche promuovendo varie iniziative legate all'IA, tra cui il Wiley AI Partnerships: A Co-Innovation Program e l'istituzione dei principi dell'IA di Wiley.
Wiley (NYSE: WLY) ha lanzado ExplanAItions, un estudio exhaustivo que analiza las aplicaciones de la IA en los procesos de investigación basado en comentarios de casi 5,000 investigadores en todo el mundo. El estudio revela que, aunque el uso actual de la IA se limita a tareas fundamentales, los investigadores esperan una expansión significativa en las aplicaciones de la IA en los próximos dos años.
Los hallazgos clave muestran que China (59%) y Alemania (57%) lideran en la adopción de la IA para la investigación comparado con el 44% a nivel global. Más del 60% de los investigadores citan la falta de directrices y capacitación como barreras para un mayor uso de la IA. Ciencias de la Computación y Medicina muestran las tasas más altas de adopción temprana de la IA, con un 44% y un 38%, respectivamente. Aproximadamente el 70% de los investigadores desea que las editoriales proporcionen directrices sobre el uso aceptable de la IA en la investigación académica.
Como respuesta, Wiley está desarrollando directrices de IA para autores que aborden los desafíos éticos, prácticos y técnicos en el uso de la IA. La compañía también está impulsando varias iniciativas de IA, incluido el Wiley AI Partnerships: A Co-Innovation Program y el establecimiento de los principios de IA de Wiley.
와일리(Wiley, NYSE: WLY)는 전 세계 거의 5,000명의 연구자들로부터의 피드백을 바탕으로 연구 과정에서의 AI 응용 프로그램을 분석한 종합 연구 ExplanAItions을 발표했습니다. 이 연구는 현재 AI 사용이 핵심 작업에 국한되어 있지만 연구자들이 2년 내에 AI 응용 프로그램의 상당한 확장을 기대하고 있음을 보여줍니다.
주요 결과에 따르면 중국(59%)과 독일(57%)이 전 세계적으로 44%인 연구에 대한 AI 채택에서 선두를 차지하고 있습니다. 60% 이상의 연구자들이 가이드라인과 교육 부족을 AI 사용 증가의 장애물로 언급하고 있습니다. 컴퓨터 과학과 의학 분야는 각각 44%와 38%로 가장 높은 초기 AI 채택률을 보이고 있습니다. 약 70%의 연구자들이 출판사들이 학술 연구에서 AI의 허용 가능한 사용에 대한 가이드라인을 제공하기를 원하고 있습니다.
이에 대응하여 와일리는 AI 사용에서의 윤리적, 실용적, 기술적 문제를 해결하기 위해 저자를 위한 AI 가이드라인을 개발하고 있습니다. 또한 Wiley AI Partnerships: A Co-Innovation Program과 Wiley의 AI 원칙을 수립하는 등 다양한 AI 이니셔티브를 추진하고 있습니다.
Wiley (NYSE: WLY) a publié ExplanAItions, une étude complète analysant les applications de l'IA dans les processus de recherche sur la base des retours d'expérience de près de 5 000 chercheurs dans le monde. L'étude révèle que, bien que l'utilisation actuelle de l'IA soit limitée aux tâches essentielles, les chercheurs s'attendent à une expansion significative des applications de l'IA dans deux ans.
Les résultats clés montrent que la Chine (59%) et l'Allemagne (57%) sont en tête en matière d'adoption de l'IA pour la recherche, comparativement à 44% au niveau mondial. Plus de 60% des chercheurs citent le manque de lignes directrices et de formation comme des obstacles à une utilisation accrue de l'IA. Les disciplines d'informatique et de médecine affichent les taux d'adoption précoce de l'IA les plus élevés, respectivement à 44% et 38%. Environ 70% des chercheurs souhaitent que les éditeurs fournissent des lignes directrices sur les utilisations acceptables de l'IA dans la recherche académique.
En réponse, Wiley développe des directives sur l'IA pour les auteurs afin de faire face aux défis éthiques, pratiques et techniques liés à l'utilisation de l'IA. L'entreprise avance également dans diverses initiatives liées à l'IA, y compris le Wiley AI Partnerships: A Co-Innovation Program et l'établissement des principes de l'IA de Wiley.
Wiley (NYSE: WLY) hat ExplanAItions veröffentlicht, eine umfassende Studie, die die Anwendungen von KI in Forschungsprozessen basierend auf dem Feedback von fast 5.000 Forschern weltweit analysiert. Die Studie zeigt, dass die aktuelle Nutzung von KI auf Kernaufgaben beschränkt ist, die Forscher jedoch innerhalb von zwei Jahren mit einer signifikanten Expansion der KI-Anwendungen rechnen.
Wesentliche Ergebnisse zeigen, dass China (59%) und Deutschland (57%) bei der KI-Übernahme für Forschung mit 44% weltweit führend sind. Über 60% der Forscher geben an, dass mangelnde Richtlinien und Schulungen als Hindernisse für eine erhöhte KI-Nutzung gelten. Informatik und Medizin zeigen mit 44% bzw. 38% die höchsten frühen KI-Akzeptanzraten. Etwa 70% der Forscher wünschen sich von Verlagen Richtlinien für die akzeptable Nutzung von KI in der wissenschaftlichen Forschung.
Als Antwort darauf entwickelt Wiley KI-Richtlinien für Autoren, um ethische, praktische und technische Herausforderungen im Umgang mit KI zu bewältigen. Das Unternehmen fördert auch verschiedene KI-Initiativen, einschließlich des Wiley AI Partnerships: A Co-Innovation Program und der Etablierung der KI-Prinzipien von Wiley.
- Strong global research participation with nearly 5,000 researchers providing insights
- High researcher interest in AI adoption for research processes
- 70% of researchers looking to Wiley for AI guidelines, indicating strong market positioning
- Development of comprehensive AI guidelines addressing market needs
- Current AI adoption in research processes
- Significant barriers to AI adoption with 63% citing lack of guidelines or training needs
Global study of nearly 5,000 researchers reveals AI will play a significant role in the research process within two years, despite limited current use
Key Findings from ExplanAItions
The study collected feedback on a total of 43 specific AI use cases from across the research process spanning disciplines and geographies, uncovering critical insights that vary by cohort:
- Current AI use tends to be limited to a few core tasks, but researchers expect a rapid expansion in how AI is employed throughout the research process.
- Researchers are not only highly interested in AI, but a majority believe that AI currently outperforms humans in over half of the 43 use cases tested.
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AI adoption varies across regions but barriers to greater AI use are consistent globally:
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China (59% ) andGermany (57% ) lead the way in using AI for their research process compared to44% adoption among researchers in the rest of the world. -
Over
60% of researchers globally cite a lack of guidelines and training as a barrier to their increased use of AI.
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AI aspirations and attitudes vary across fields of study:
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The fields of Computer Science and Medicine have the most researchers who self-identify as wanting to be early adopters of AI (
44% and38% , respectively, vs.34% overall). -
Life Sciences researchers are the most cautious in their approach to AI, with the smallest proportion of early adopters (
27% vs.34% overall) but are on par with other disciplines in terms of having used AI to conduct or write their research.
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The fields of Computer Science and Medicine have the most researchers who self-identify as wanting to be early adopters of AI (
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Across disciplines, career phases, and regions, researchers agree that they see a role for publishers in navigating the future use of AI: around
70% want publishers to provide guidelines on what uses of AI are acceptable in the context of scholarly research and to help them avoid potential errors and pitfalls.
The ExplanAItions study also highlights notable barriers to AI adoption in spite of openness to AI applications, with
Listening to Authors: Forthcoming AI Guidelines
In response to
"Our study reveals a striking pattern – while researchers are eager to embrace AI's benefits, they face significant barriers including a lack of clear guidelines on acceptable use," said Jay Flynn, Wiley EVP & General Manager, Research & Learning. "We’ve heard researchers loud and clear. We're committed to supporting authors as they navigate this transformation and will offer guidance on how to use generative AI tools with greater confidence.”
Wiley’s Leadership in Shaping AI
Wiley’s proactive approach to AI goes beyond the forthcoming guidelines. Recent initiatives include the Wiley AI Partnerships: A Co-Innovation Program to accelerate scientific discovery, The Conversations series featuring an episode on AI ethics, and the establishment of Wiley’s AI Principles. Together with the ExplanAItions study, these efforts reinforce Wiley’s position as a trusted leader in driving the responsible and exciting integration of AI into research and publishing.
Download the Report and Visit the Microsite
Discover the full insights from the ExplanAItions study here accompanied by supporting resources and factsheets on a new microsite.
Survey Methodology
ExplanAItions is the culmination of multiple explorations on the topic of AI in academic research conducted by Wiley in 2024. This includes 1) a survey on perceptions, attitudes, and behaviors in March-April with 1,043 responses, 2) 18 hour-long one-on-one interviews conducted in July and August to collect input and refine a list of AI use cases, and 3) a survey deep dive to collect data on use cases in August-September with 4,946 responses. As a thank you for participating in the survey, Wiley donated funds for each response to One Tree Planted, a charity supporting reforestation and biodiversity initiatives around the globe. Wiley has donated funds to plant a total of 21,780 trees due to strong participation in the ExplanAItions surveys.
About Wiley
Wiley (NYSE: WLY) is one of the world’s largest publishers and a trusted leader in research and learning. Our industry-leading content, services, platforms, and knowledge networks are tailored to meet the evolving needs of our customers and partners, including researchers, students, instructors, professionals, institutions, and corporations. We empower knowledge-seekers to transform today’s biggest obstacles into tomorrow’s brightest opportunities. For more than two centuries, Wiley has been delivering on its timeless mission to unlock human potential. Visit us at Wiley.com. Follow us on Facebook, X, LinkedIn and Instagram.
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Source: John Wiley and Sons
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