PROJECT SUMMARY

Brimbank City Council garbage truck

An AI governance framework for garbage truck-mounted machine vision systems

Focus Area: Transport and Mobilities
Research Program: Data
Status: Completed

This project addresses the ethical and social concerns associated with the use of AI systems in local government municipalities. The use of AI in decision-making offers great potential but also raises important issues such as privacy, transparency, and ethical considerations. To tackle these challenges, we propose an AI governance framework tailored specifically for local government municipalities. The framework prioritises human rights and values while weighing societal risks and benefits. It involves establishing guidelines and practices that align AI technologies with organisational values and objectives, promoting responsible AI development and deployment.

Through a collaborative design approach with Brimbank City Council in Australia, we have developed an AI governance framework. Drawing on insights from ethical and responsible AI research, we identify key AI management pillars, processes, and an action plan to guide responsible and ethical AI practices. This framework will be adaptable to the unique needs and concerns of municipalities, balancing general responsible AI principles with specific local government contexts.

The project makes several contributions. Firstly, it investigates the human, social, and ethical implications of AI usage in the context of local government. Secondly, it proposes an AI governance framework that combines responsible AI principles, management pillars, and an action plan, providing a significant step forward in AI governance. Lastly, it presents a participatory approach that facilitates the development and translation of the AI governance framework, making it a practical resource for policymakers, city planners and related stakeholders.

By adopting this framework, local governments can lead in promoting ethical AI use, building public trust, and transparency. To do so involves context-specific translational work, creating practical pathways for implementing high level ethical principles. Our framework and action plan enables responsible AI deployment across sectors, benefiting both the organisation and the community it serves.

PUBLICATIONS

AI Governance in the Smart City: A case study of garbage truck mounted machine vision for roadside maintenance, 2023

Kang, Y.B., McCosker, A., et al.

Report

RESEARCHERS

ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Lead Investigator,
Swinburne University

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Yong-Bin Kang

Dr Yong-Bin Kang

Research Fellow,
Swinburne University

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Milovan Savic

Dr Milovan Savic

Research Fellow,
Swinburne University

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Yong-Bin Kang

Thomas Graham

PhD Student,
Swinburne University

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Affiliate,
University of Melbourne

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PARTNERS

Brimbank City Council

Brimbank City Council

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Office of the Victorian Information Commissioner (OVIC)

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