ELM is the University of Edinburgh's AI innovation platform, a central gateway providing safer access to Generative Artificial Intelligence (GAI) via access to Large Language Models (LLMs). To find our more about AI at the University see our dedicated AI pages.Please note, your lecturers do not have access to your chat history in ELM for the purposes of 'checking' your work - like your email account, it is private to you. Sign up here for training for staff on Generative AI and ELM! Launch ELMEdinburgh AI Our AI Principles We are committed to providing safer access to Generative AI. Learn more about the principles that guide us ELM Competency Centre Guidance on how to safely use ELM and other LLMs in your academic work. Responsible AI & AI Safety We acknowledge the challenges posed by generative AI and actively work on incorporating safety features, addressing risks, and implementing mitigations. Generative AI Guidelines for Students This page provides clear, practical advice to help students use generative AI responsibly and effectively in their academic work. You’ll find guidance on when and how AI tools can be helpful, what ethical considerations to keep in mind, and how to ensure your work reflects your own voice and understanding. Using Generative AI in Your Work: Guidance for Staff • The University supports responsible use of generative AI to enhance research, teaching and professional services, aligned with our values. • Where staff wish to use generative AI to assist in their work, the University’s recommendation is that staff use ELM, the University’s AI platform: it improves data security and ethics, reduces cost, and is supported by IT. • Be transparent about if/how you used AI. Never claim AI output as your own work. Always verify accuracy and appropriateness. • Protect copyright, confidentiality and personal data. Assume anything put into third-party tools is shared externally. Do not use ELM with identifiable patient/clinical data or any identifiable research participant data. • For systematic or large-scale adoption (including AI in third-party apps or the introduction of AI into an existing platform) for non-research activities, follow the approval process via the ISG Ethics Board, and complete required impact assessments. For Research use of AI follow your normal College Research Ethics Board process. • Separate guidance for students is available and should be referenced in teaching located here: ELM Frequently Asked Questions (FAQs) Here you will find answers to common questions and guidance on using our services. For further assistance, contact our support team. Help and Support How to get help with ELM Feedback Share your suggestions to help us improve ELM ELM Update Roadmap This roadmap provides a summary of our plan to enhance and develop ELM services. Availability and Entitlement Our availability and who is entitled to use ELM This article was published on 2024-10-08
