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Elsevier
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How LeapSpace supports trust and security

LeapSpace™ applies a responsible AI approach grounded in transparency, oversight, and trusted content.

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Institutional trust and security, without removing researcher control

LeapSpace is designed to support responsible AI adoption in research environments by balancing institutional governance with researcher-led inquiry. Trust, transparency, and security are embedded throughout how LeapSpace sources content, applies AI methods, and supports oversight across organizations.

Transparency you can evaluate

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LeapSpace supports transparency by making AI-assisted outputs reviewable, traceable, and explainable within research workflows.

  • Linked citations connect outputs directly to underlying source material

  • Visible answer steps show how outputs are produced

  • Innovative Trust Cards explain why sources were cited and highlight contradictions

These features help researchers and institutions verify information and understand how results are generated, without relying on opaque systems.

Trusted content foundations

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LeapSpace draws only from trusted scientific and institutional sources. Content foundations include:

  • Peer-reviewed journal content indexed in Scopus

  • Scholarly books and reference works

  • Curated funding data from recognized institutional sources

New content is added continuously, and retracted articles are excluded as part of ongoing governance processes. This helps ensure researchers and institutions work with current, reliable, and responsibly curated information.

Learn more about LeapSpace content coverage

Human oversight throughout

Human oversight throughout

Human expertise is embedded across LeapSpace, including:

  • Content curation and selection

  • Model evaluation and quality assurance

  • Ongoing validation and governance

LeapSpace is designed to reinforce — not replace — human research judgment, supporting responsible use across research workflows.

Publisher neutrality

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LeapSpace is publisher-neutral by design:

  • Results are ranked based on relevance, with a small boost for recency

  • Publisher ownership and discipline do not influence ranking

  • An independent advisory board supports continued neutrality and transparency

This ensures institutions can adopt AI-assisted research tools without introducing preferential treatment or hidden bias.

Researchers told us that one of their biggest concerns with AI tools is hidden bias. That’s why our objective is to certify LeapSpace’s ranking methodology to be completely publisher-neutral - no preferential treatment, no black boxes.
Professor & Chairman Jörg-Rüdiger Sack

Professor Jörg-Rüdiger Sack

Lead of the LeapSpace Advisory Board | Chair of the Scopus Content Selection and Advisory Board | Professor Emeritus at Canada’s Carleton University’s School of Computer Science at Canada’s Carleton University’s School of Computer Science

Security for organizations. Privacy for the individual.

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LeapSpace follows Elsevier’s robust knowledge and cyber-security framework, aligned with ISO 27001 risk-management principles. Built with enterprise-grade security and a responsible AI approach, it safeguards both users and institutions.

  • Data security

  • Privacy protection, in line with Elsevier's privacy principles

  • Governance, compliance, and risk review

This allows LeapSpace to be evaluated alongside existing IT, security, and procurement standards. It supports responsible AI use and privacy, protecting both individual researchers’ work and organizational data.

Learn about how Elsevier ensures privacy and security at every step

Find out more. Inquire today.

LeapSpace for organizations

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LeapSpace for individual academics and students

Contact us to discuss access and subscription options for your organization.

Email us if you're interested in partnering with us on a publisher-neutral AI workspace for trusted scholarly content.

Individual access for academics and students will be available to buy soon. If you'd like to be among the first to know when, join the waitlist.