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