12
Mar

Australian Sensitive Data Interest Group Meeting 36: Data Privacy and Safety in AI: Finding the Middle Ground

Join us to explore the data privacy risks associated with AI services and methods.
A person handing a key to another

About the Event

In this webinar, we will explore the data privacy risks associated with AI services and the methods to mitigate them. The focus of this presentation is to address the trade-offs between data privacy and other goals, highlighting the complex intricacies between AI privacy and safety objectives, and emphasising the critical need for robust legal frameworks to balance these interests effectively.

This webinar is co-presented by the Australian Sensitive Data Interest Group (AUSDIG) and Machine Learning Community of Practice for Australia (ML4AU).

Speaker

Ming Ding is a Principal Research Scientist and Science Lead at Data61, CSIRO in Sydney. He is also an Adjunct Professor at the Swinburne University of Technology.

Ming’s research interests include data privacy and security, machine learning and AI, and information technology. He has co-authored more than 250 papers for IEEE/ACM journals and conferences, all in recognized venues; around 20 3GPP standardisation contributions; 2 books on information technology, published by Springer and Cambridge University Press respectively. He also holds 21 US patents and has co-invented more than 100 other patents on 4G/5G technologies.

Ming is currently an editor of IEEE Communications Surveys and Tutorials. He has also served as a guest editor, co-chair, co-tutor or TPC member for multiple top-tier IEEE journals and conferences. He has received several awards for his research work and professional services, including the prestigious IEEE Signal Processing Society Best Paper Award in 2022 and Highly Cited Researcher recognized by Clarivate Analytics in 2024.

Recording

This session will be recorded. The recording will be provided to registrants but not published on the ARDC YouTube channel.

Further Resources

About AUSDIG and ML4AU

AUSDIG provides an opportunity for anyone interested in discussing the challenges and strategies for managing sensitive data. To watch previous meetings and join the mailing list, visit the AUSDIG website.

ML4AU provides an opportunity for anyone interested in machine learning for research to collaborate over the emerging needs for ML capabilities and expertise in eResearch. To learn about the CoP and participate in future activities of the group, visit the ML4AU website.

Do you have questions about this event? Contact us.

Attendees are expected to comply with the Code of Conduct for ARDC Activities during this event. The ARDC respects the privacy of individuals. Information collected is in accordance with the ARDC Privacy Policy.

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