귀하의 브라우저가 완벽하게 지원되지 않습니다. 옵션이 있는 경우 최신 버전으로 업그레이드하거나 Mozilla Firefox, Microsoft Edge, Google Chrome 또는 Safari 14 이상을 사용하세요. 가능하지 않거나 지원이 필요한 경우 피드백을 보내주세요.
이 새로운 경험에 대한 귀하의 의견에 감사드립니다.의견을 말씀해 주세요
As AI continues to reshape research, teaching and learning, this hub brings together strategic guidance, insights and trusted resources to help institutions adopt AI responsibly and effectively.
Effective AI leadership goes beyond technology. It requires strong governance, clear policy, skills investment and a culture of trust. To lead responsibly, institutions must understand how AI is changing research, where gaps exist and how peers are responding. The following resources help inform strategies that are both forward-looking and grounded in academic values.
Researcher of the Future: a Confidence in Research report: See how researchers worldwide are adapting to AI and where institutions need to evolve
Developing strategic AI leadership for future-ready universities: Define ethical, forward-looking AI strategies, align stakeholders and support innovation and academic integrity
Building these capabilities helps students and researchers work with AI confidently while supporting academic success and research integrity. The following resources offer practical ways to embed AI literacy across education and research.
RDMLA: AI for Librarians: A new, free course to help librarians build practical AI skills for the modern library
Rising to the challenge: Library leaders share their top strategies for AI literacy education
Are you AI literate? Our checklist offers practical pointers to help you use AI with confidence and care
When applied thoughtfully, AI can enhance learning and accelerate discovery. Real impact depends on balancing opportunity with risks such as bias, integrity and tool selection. The following resources offer practical guidance to apply AI effectively while maintaining trust and academic standards.
Responsible adoption of agentic AI in academia: Understand how agentic AI works, where it adds value, and how to ensure responsible, human-in-the-loop adoption
Selecting the right generative AI tool for your institution: Review essential considerations, key questions to ask and the important role librarians can play in identifying a trusted solution
As you explore the strategic insights and practical resources above, it is equally important to consider how AI is evaluated and adopted responsibly across the research and academic landscape. Elsevier’s AI solutions reflect innovation grounded in long-standing standards for research integrity, transparency and institutional trust.
