Content coverage and how it is displayed in our solutions
Broad, curated scientific content coverage
AI insights always linked to original sources
Transparent, up-to-date scholarly record
Trust, built together
Collaboration with publishers and societies in the age of AI
Responsible AI starts with trusted content
In science and healthcare, every new insight builds on knowledge that came before - a trusted foundation that makes the next breakthrough possible and improves patient outcomes. Rigorous. Attributed. Verifiable. As AI accelerates at unprecedented speed, its potential to drive progress will not be defined by speed alone. It will be defined by trust and how grounded it is in high-quality information.
This is why Elsevier collaborates with leading publishers and societies; their trusted content and data help ensure our research and clinical-grade AI solutions are built on the most comprehensive verified scientific and medical knowledge base.
At the heart of our approach is an unwavering commitment to transparency, privacy, IP protection and neutrality. We ensure partner content is attributable, discoverable and connected to publisher platforms.
Attribution and citation
Every insight is fully attributable
Citations connect users to source content on publisher platforms
Transparency supports trust and IP protection
Transparency and accountability
AI outputs are explainable and traceable
Users can assess evidence and limitations
Enterprise-grade privacy and security standards
Reliability and quality
Peer-reviewed, expert-curated, Scopus certified
Evaluation
Human oversight remains central
FAQs
Elsevier works in close collaboration with publishers, societies, and data providers to integrate their trusted content into its AI solutions. This ensures that insights are grounded in high-quality, peer-reviewed research while respecting copyright and maintaining trust.
No. When one of our solutions uses a third-party LLM it is always in a private secure environment, meaning there is no data exchange or use of partner or Elsevier content to train their public models.
Elsevier embeds attribution and citations directly into AI outputs, linking back to original sources and publisher platforms. This ensures proper recognition of authors and content owners while enabling users to verify and explore the underlying research.
Elsevier’s AI solutions are designed to make trusted content more discoverable while preserving publisher platforms as the authoritative destination for full-text access. Cited sources link users back to the original publication, helping researchers and clinicians continue their work at the source.
Elsevier designs its AI solutions to make outputs explainable and traceable. Users can see the sources behind answers, understand how results are generated, and evaluate strength of evidence.
Elsevier combines peer-reviewed content, rigorous curation processes, expert oversight, and advanced evaluation frameworks to ensure high-quality outputs. AI performance is assessed for accuracy, completeness, and safety, with human experts involved throughout development and refinement.
Resources
By responsibly collaborating with third parties, we can develop AI solutions that expand what is possible - while preserving what matters most: trust.
Together with our partners and the communities we serve, we are advancing discovery, improving outcomes, and shaping a future where AI accelerates human progress.
