Sustainable approach to the adoption and use of AI
Murdoch University is committed to the responsible and ethical adoption of artificial intelligence (AI) technologies. We recognise the significant environmental, social, and governance (ESG) implications associated with the rapid emergence, widespread availability, and continuous advancement of AI.
While ensuring that our staff and students have access to and are supported by the latest AI innovations, we remain dedicated to selecting and implementing the most sustainable and socially responsible solutions.
As part of this commitment, the University will:
- Prioritise sustainable AI solutions – We will procure, configure or develop AI tools and products that minimise environmental impact by utilising energy-efficient algorithms and hardware while ensuring transparency around their sustainability credentials.
- Adopt a lifecycle approach to AI procurement – Preference will be given to vendors and solutions that demonstrate a commitment to ethical practices and sustainability throughout the AI lifecycle.
- Promote equitable and inclusive AI adoption – We will ensure AI technologies enhance the well-being of all community members, mitigate bias, and support diversity by conducting social impact assessments and ensuring equitable access.
- Ensure transparency and accountability – AI decision-making processes will be open, with clear communication and engagement with stakeholders, together with decision audit trails.
To further uphold these principles, Murdoch University will:
- Appoint a sustainability representative to the MU AI Working Group to advise on ESG considerations.
- Deliver training and awareness programs to educate staff and students on responsible AI use, including its environmental and social impacts.
- Integrate AI-related sustainability metrics into the University’s annual sustainability reporting.
This approach applies to all AI-related activities within the university, including but not limited to research, development, configuration, selection, procurement, and deployment of AI tools and products.
