주요 콘텐츠로 건너뛰기

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.

Elsevier
엘스비어와 함께 출판
AI

AI across Elsevier: Advancing human intelligence with trust and integrity

Explore how Elsevier uses responsible artificial intelligence to power trusted research, healthcare and education solutions.

Collage of images

A different way to AI

Discover our AI-driven tools, peer-reviewed content and responsible AI approach, designed to accelerate discovery, improve decision-making and deliver real-world impact across science and health.

AI at Elsevier

We use AI to support impact makers across all fields, from health to education and R&D.

연구자들은 AI 도구와 관련해 가장 큰 우려 중 하나로 숨겨진 편향을 꼽았습니다. 따라서 우리의 목표는 LeapSpace의 순위 산정 방식이 어떠한 특혜나 블랙박스 없이 완전히 출판사에 중립적임을 인증하는 것입니다.
Professor & Chairman Jörg-Rüdiger Sack

Jörg-Rüdiger Sack 교수 & 의장

Canada’s Carleton University’s School of Computer Science의 LeapSpace 자문 위원회 의장 | Scopus 콘텐츠 선정 및 자문 위원회 의장 | 캐나다 칼턴 대학교 컴퓨터 과학 명예 교수

Our approach to AI: Build verifiable AI with governed evidence

Build trusted AI workflows with governed evidence, clear attribution and human oversight.

  • Understand how Elsevier supports research-grade AI outcomes

  • Learn what “verifiable” means in practice for teams and institutions

  • Explore responsible AI governance and quality evaluation

Explore our approach to AI

Traditional vs AI research: Align AI workflows to research-grade trust

Discover where AI-assisted research speeds up discovery — and where traditional rigor keeps results reliable.

  • Compare speed, scale, discovery and reproducibility

  • See what governance must cover for research-grade trust

  • Use practical examples to guide adoption decisions

Explore traditional vs AI research

Capture AI value while managing risk and governance

Get a clear, decision-ready view of where AI delivers value and where safeguards matter.

  • Balance productivity gains with risks to integrity, safety and governance

  • Identify quality safeguards to look for before rollout

  • Use an adoption checklist to support responsible implementation

Benefits and risks of AI

Evidence-based AI that supports better patient outcomes

Elsevier’s approach to AI in health connects clinical needs with trusted research. Learn how AI can help clinicians and researchers:

  • Find and review evidence faster

  • Make decisions with traceable, citable sources

  • Support transparency and accountability in clinical use

  • Align with responsible AI governance, including privacy and IP protection

Explore how AI can complement expert judgment in healthcare — while preserving the reliability of the scholarly record.

AI in Health

Responsible adoption that protects trust in learning and scholarship

Elsevier helps institutions use AI in ways that strengthen discovery, teaching and research integrity. Explore how AI can be applied with:

  • Trusted content and evidence traceability

  • Attribution and transparency for verifiable outcomes

  • Domain expertise and human oversight

  • Governance that supports privacy, IP protection, and neutrality

  • Practical guidance for AI literacy and leadership

Discover what trusted content means for research-grade AI and how academic communities can adopt AI responsibly.

AI in research & higher education

Responsible AI is how Elsevier helps teams deploy AI with confidence — grounded in trusted evidence, privacy and IP protection, neutrality, transparency, and accountability. Explore our responsible AI approach, including the principles and policies that guide how AI should be developed, evaluated and governed.

Learn more about Responsible AI

AI products from Elsevier