For more than a decade, Elsevier has been using AI and machine learning technologies responsibly in our products. In our development of Scopus AI, Elsevier’s new Generative AI tool we adhered to Elsevier’s Responsible AI principles, which include:

  1. Considering the real-world impact of our solutions on people

  2. Taking action to prevent the creation or reinforcement of unfair bias

  3. Explaining how our solutions work

  4. Creating accountability through human oversight

  5. Respecting privacy and championing robust data governance

We are using increasingly sophisticated analytics and technology, which creates potential impacts on people’s livelihoods, health, and communities. But these new tools also create many opportunities to benefit society, and our principles will iterate over time, based on colleague and customer feedback, as AI continues to evolve.

Developed in close collaboration with the research community, Scopus AI creates an instant, intuitive and fully referenced summary of whatever topic you’re querying. Drawing from the curated peer-review content in Scopus, the world’s largest multidisciplinary and trusted abstract and citation database, Scopus AI unearths the most applicable sources and highlights key conclusions and findings, providing an insight-driven analysis of the most relevant material to your search. Not only can Scopus AI save researchers and institutions valuable time, it can also help maximize research impact by:  

  • Fostering interdisciplinary collaboration 

  • Demystifying new fields and topics

  • Identifying key potential research partners

  • Uncovering promising areas for future exploration 

Please join us for a webinar discussion about how we applied Elsevier’s responsible AI principles to the development of Scopus AI, ensuring our solutions develop in line with our values as we maintain our stance as a thought leader in the market
Adrian Raudaschl
Senior Product Manager
Dr. Adrian Raudaschl, a former medical professional, transitioned to the realm of product management with a resolute goal: to propel academic research forward. As a seasoned senior product manager based in London, Adrian thrives at the intersection of search technology, AI, and large language models. His most recent project is Scopus AI, a service that combines vector search with large language models to empower researchers in discovering new topic areas.
Harry Muncey
Director of Data Science, Responsible AI at Elsevier
I have a passion for ethical, inclusive & data-driven product design and lead efforts within Elsevier to implement our RELX Responsible AI & Data Science Principles. I work on embedding principles of fairness, accountability, transparency, explainability & mitigation of harms into our data science ways of working, developing organisation-wide best practices and process for ethical use of data and technology. I also chair the Elsevier AI Ethics Board. My background is in mathematics & statistics, completing a PhD in biostatistics at Imperial College before beginning a career in data science and then focussing on Responsible AI.
Register To Watch Recording
Full name*
Email Address*
Job Title*
Marketing Permission
Elsevier (https://www.elsevier.com/about/locations) may send you information about relevant products and events. If you do NOT wish to receive such messages please check the box below For more information, please read our privacy policy.
I do not wish to receive marketing emails