We value equitable and inclusive AI engagement, design and implementation

• We recognise the inherent inequities in the technology landscape and seek to enable fair, equitable access to Artificial Intelligence technologies for our community.
• We facilitate awareness of issues of system ownership, data quality and bias.
• We support AI design and development that redresses inherent issues impacting diversity and inclusion.

What this means in context

Personal, professional and academic practice

• Staff and students make reasonable use of endorsed tools and technologies.
• Staff and students critically engage with technologies to consider aspects of bias and representation.

Knowledge creation and sharing

• We actively build a more inclusive, equitable society by sharing AI knowledges and exposing inherent biases.
• We contribute to the design of more inclusive systems that are accessible and equitable.
• We ensure Deakin-designed systems are open about training data and endeavour to maximise diversity of representation.

Institutional leadership and governance

• Deakin seeks to reduce the impacts of the digital divide by providing access to AI as part of the University’s technology suite.
• Deakin prioritises systems that are accessible, inclusive and equitable by design.
• Deakin evaluates vendors’ ethical and environmental credentials throughout procurement.
• Deakin actively contributes to building a more inclusive and equitable society through ethical digital leadership.

Questions to ask

• What biases might exist in the data or outputs?
• How might I learn more about equity and AI?
• Who is excluded or underrepresented in the data or outputs?