New guidance to help businesses implement responsible AI
Gradient Institute, in collaboration with Australia's National Artificial Intelligence Centre (hosted by CSIRO), has released a report that outlines practical measures for businesses to adopt Responsible Artificial Intelligence.
There are many existing high level principles and frameworks for Responsible AI, and although important for establishing the organisational intent, these are often not directly helpful for the people building or overseeing the use of such systems. The new report aims to bridge the gap between principles and implementation by exploring a selection of key practices and resources that promote alignment with the Australian Government's AI ethics principles. The report examines approaches such as impact assessment, data curation, contextualising fairness, pilot studies and organisational training, while providing pointers to useful resources for each.
According to the recent Australian Responsible AI Index, although 82% of businesses believe they practice responsible AI, less than 24% have concrete measures in place. CEO of Gradient Institute, Bill Simpson-Young, hopes this report will inspire more organisations to embark on the journey towards responsible AI practices.
Some of the selected practices are very intuitive. For example, when an AI system is engaging with people, informing users of an AI’s operation builds trust and empowers them to make informed decisions. Transparency for impacted individuals could be as simple as informing the user when they are interacting with an AI system.
Other practices are more nuanced and we aim to make the reader aware of this nuance, and point to resources where they can learn more. For example, while it is broadly accepted that fairness is important, what constitutes fair outcomes or fair treatment is open to interpretation, highly contextual and depends on the harms and benefits of the system and how impactful they are. It is the role of the system owner to consult relevant affected parties, domain and legal experts and system stakeholders to determine how to contextualise fairness to their specific AI use‑case, which informs all the design and operational decisions they make.
This report is released under a creative commons licence by the National AI Centre and Gradient Institute to invite organisations to actively share their experience and effective practices.
Read the press release here.
Report in full here.
AI Policy Template for Australian NFPs
This document provides a practical, plain-English template to support Australian not-for-profit organisations in developing an AI policy that is responsible, context-aware, and aligned with their mission and values.
Access (via Google Form): https://docs.google.com/forms/d/e/1FAIpQLSfnCDPPGWBjsa44W1UxLDmE0rm7R1JhJ_2IJTXQ9I9VIZuqUw/viewform
It is designed as a starting point, not a one-size-fits-all solution. Organisations should adapt the template to reflect their specific operating environment, sector obligations, risk appetite, stakeholder expectations, and existing governance and compliance frameworks. This includes considering how AI may be used across service delivery, decision-making, data handling, communications, and internal operations.
The template is part of a broader suite of AI governance resources developed by Gradient Institute. It is intended to be used alongside complementary guidance, tools, and education, rather than in isolation. Effective AI governance requires ongoing judgement, review, and organisational learning as technologies, regulations, and social expectations evolve.
While the template reflects current best practice, organisations should seek appropriate legal, technical, and governance expertise when implementing or operationalising AI policies, particularly where systems may affect people, rights, or critical outcomes. Refer to: https://creativecommons.org/licenses/by/4.0/deed.en
We welcome questions, reflections, and feedback on this resource. Please contact us at info@gradientinstitute.org
New guidance to help businesses implement responsible AI
Gradient Institute, in collaboration with Australia's National Artificial Intelligence Centre (hosted by CSIRO), has released a report that outlines practical measures for businesses to adopt Responsible Artificial Intelligence.
There are many existing high level principles and frameworks for Responsible AI, and although important for establishing the organisational intent, these are often not directly helpful for the people building or overseeing the use of such systems. The new report aims to bridge the gap between principles and implementation by exploring a selection of key practices and resources that promote alignment with the Australian Government's AI ethics principles. The report examines approaches such as impact assessment, data curation, contextualising fairness, pilot studies and organisational training, while providing pointers to useful resources for each.
According to the recent Australian Responsible AI Index, although 82% of businesses believe they practice responsible AI, less than 24% have concrete measures in place. CEO of Gradient Institute, Bill Simpson-Young, hopes this report will inspire more organisations to embark on the journey towards responsible AI practices.
Some of the selected practices are very intuitive. For example, when an AI system is engaging with people, informing users of an AI’s operation builds trust and empowers them to make informed decisions. Transparency for impacted individuals could be as simple as informing the user when they are interacting with an AI system.
Other practices are more nuanced and we aim to make the reader aware of this nuance, and point to resources where they can learn more. For example, while it is broadly accepted that fairness is important, what constitutes fair outcomes or fair treatment is open to interpretation, highly contextual and depends on the harms and benefits of the system and how impactful they are. It is the role of the system owner to consult relevant affected parties, domain and legal experts and system stakeholders to determine how to contextualise fairness to their specific AI use‑case, which informs all the design and operational decisions they make.
This report is released under a creative commons licence by the National AI Centre and Gradient Institute to invite organisations to actively share their experience and effective practices.
