Guiding principles for artificial intelligence
Our approach to ethical, transparent AI use, supporting the chemical science community to create positive global impact.
Our artificial intelligence (AI) principles serve to guide to our approach to AI, whilst providing a framework ensuring responsible and ethical implementation.鈥疻e will make ethical decisions and navigate the evolving AI landscape with a balanced and adaptive approach, thoughtfully managing risks while amplifying our impact as a catalyst for positive change.鈥疉s always, our mission is to鈥痟elp the chemical science community make the world a better place.
While chemical scientists have been at the forefront of AI applications in science, some elements of鈥疉I present unique challenges, not least because it is difficult to understand the implications of decisions relating to such a new and evolving technology.鈥疻e are using the following principles to guide how we work with AI tools within RSC, the鈥痵ervices鈥痑nd products we develop for our community, and how we adapt to a world where AI is changing how scientific information is discovered and used.
Guiding principles鈥�
Ethical use
We will uphold ethical standards and responsible practices in AI deployment and governance.鈥疻e will adhere to principles of fairness, accountability, non-discrimination, and sustainability.鈥疻e commit to proactively鈥痠dentify鈥痑nd manage potential risks associated with AI adoption.鈥疻e recognise the importance of human oversight to AI systems.
Transparency
We commit to transparency around our evolving use of AI in our activities, including our mitigations of inherent challenges with the different elements of AI.鈥�
Community focus鈥�
We commit to work with our community to navigate the evolving aspects of AI鈥�-鈥痶o鈥痚xtend the reach,鈥痑pplication鈥痑nd impact of the chemical sciences.
Governance and accountability
We have implemented policies and processes to guide our own adoption and use of AI applications in all their forms. Building on our robust policies to ensure information security, data governance, privacy, licensing, and responsible use of AI in publishing, we have a responsible approach to assessing the fit and impact of AI applications which will continue to evolve.鈥�
Related pages
Processes and policies
Including review, transfers, appeals, prior publication, data and correction and retraction.
Licences, copyright and permissions
Information about copyright, our licence to publish and your deposition and sharing rights for journal articles
Licensing for AI and TDM applications
Machine-ready articles to support your R&D’s digital future.