IEEE Software Best Paper Award


๐Ÿ†Our paper โ€” โ€œToward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systemsโ€ has been awarded the Best Paper Award of IEEE Software 2024! https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10553223

Although CSIRO’s Data61 often publish breakthrough research and win best paper awards at academic conferences, nothing beats being recognised by practitioners. The world-leading practitioner magazine IEEE Software has awarded us its ๐˜€๐—ถ๐—ป๐—ด๐—น๐—ฒ ๐—•๐—ฒ๐˜€๐˜ ๐—ฃ๐—ฎ๐—ฝ๐—ฒ๐—ฟ ๐—”๐˜„๐—ฎ๐—ฟ๐—ฑ for 2024 โ€“ a clear sign that the approach weโ€™ve taken resonates with practitioners and is already being used in the field.


As foundation models and generative AI are built into everything, the most important safeguard is at the system level โ€“ controls and design approaches you can tailor to your own use case and risk appetite. Relying solely on AI model/platform providers to โ€œimproveโ€ their black boxes is not enough. System-level protections, under your control, are the most effective way to manage AI risks and improve AI performance for your specific context.


About Me


About me – According to AI

Director/Head of CSIRO’s Data61
Conjoint Professor, CSE UNSW

For other roles, see LinkedIn & Professional activities.

If you’d like to invite me to give a talk, please see here & email liming.zhu@data61.csiro.au

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