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Elsevier
Bei Elsevier publizieren
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.

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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.

Forschende haben uns mitgeteilt, dass eine ihrer größten Sorgen im Zusammenhang mit KI-Tools versteckte Voreingenommenheit ist. Deshalb ist es unser Ziel, die Ranking-Methodik von LeapSpace als vollständig verlagsneutral zu zertifizieren – ohne Bevorzugung und ohne Black Boxes.
Professor & Chairman Jörg-Rüdiger Sack

Professor Jörg-Rüdiger Sack

Leiter des LeapSpace-Beirats | Vorsitzender des Scopus-Beirats für Inhaltsauswahl und Beratung | Emeritierter Professor bei Fakultät für Informatik der Carleton University in Kanada

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