AI in Government Keynote

๐Ÿง  โ€œ๐— ๐—ฒ๐—ฎ๐—ป๐—ถ๐—ป๐—ด๐—ณ๐˜‚๐—น ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ถ๐—ด๐—ต๐˜โ€ is everyoneโ€™s magic bulletโ€”but nobody seems to know the magic sauce.
I opened Day 2 of the AI in Government Conference with a keynote on some of the hardest questions in AI-enabled decision-making:

โ€ข ๐˜‹๐˜ฐ ๐˜ฉ๐˜ถ๐˜ฎ๐˜ข๐˜ฏ๐˜ด ๐˜ณ๐˜ฆ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ฉ๐˜ข๐˜ท๐˜ฆ ๐˜ข๐˜จ๐˜ฆ๐˜ฏ๐˜ค๐˜บโ€”๐˜ฐ๐˜ณ ๐˜ซ๐˜ถ๐˜ด๐˜ต ๐˜ต๐˜ฉ๐˜ฆ ๐˜ช๐˜ญ๐˜ญ๐˜ถ๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜ฐ๐˜ง ๐˜ช๐˜ต, ๐˜ข๐˜ง๐˜ต๐˜ฆ๐˜ณ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ˆ๐˜ ๐˜ฉ๐˜ข๐˜ด ๐˜ข๐˜ญ๐˜ณ๐˜ฆ๐˜ข๐˜ฅ๐˜บ ๐˜ด๐˜ฉ๐˜ข๐˜ฑ๐˜ฆ๐˜ฅ ๐˜ฎ๐˜ฐ๐˜ด๐˜ต ๐˜ฐ๐˜ง ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ฆ๐˜ค๐˜ช๐˜ด๐˜ช๐˜ฐ๐˜ฏ?
โ€ข ๐˜ˆ๐˜ณ๐˜ฆ ๐˜ธ๐˜ฆ ๐˜ฎ๐˜ช๐˜ด๐˜ต๐˜ข๐˜ฌ๐˜ช๐˜ฏ๐˜จ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฑ๐˜ณ๐˜ฆ๐˜ด๐˜ฆ๐˜ฏ๐˜ค๐˜ฆ ๐˜ฐ๐˜ง ๐˜ข ๐˜ฉ๐˜ถ๐˜ฎ๐˜ข๐˜ฏ ๐˜ง๐˜ฐ๐˜ณ ๐˜ฆ๐˜ง๐˜ง๐˜ฆ๐˜ค๐˜ต๐˜ช๐˜ท๐˜ฆ ๐˜ฐ๐˜ท๐˜ฆ๐˜ณ๐˜ด๐˜ช๐˜จ๐˜ฉ๐˜ต?
โ€ข ๐˜Š๐˜ข๐˜ฏ ๐˜ธ๐˜ฆ ๐˜ต๐˜ณ๐˜ถ๐˜ด๐˜ต ๐˜ˆ๐˜ ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ๐˜ฆ๐˜ด ๐˜ช๐˜ง ๐˜ธ๐˜ฆ ๐˜ค๐˜ข๐˜ฏโ€™๐˜ต ๐˜ต๐˜ณ๐˜ข๐˜ค๐˜ฆ ๐˜ฐ๐˜ณ ๐˜ต๐˜ฆ๐˜ด๐˜ต ๐˜ต๐˜ฉ๐˜ฆ๐˜ช๐˜ณ ๐˜ณ๐˜ฆ๐˜ข๐˜ด๐˜ฐ๐˜ฏ๐˜ช๐˜ฏ๐˜จ?

We need to shift the focus from symbolic and procedural fixes to measurable effectiveness. I introduced some of the recent innovations from CSIRO’s Data61:

1. Metrics, methods and evaluation infrastructure to measure how different forms of oversight actually influence outcomes
2. Marginal risk assessment techniques to evaluate AI performance and risk without requiring ground truth
3. Methods to evaluate the faithfulness of AI rationales against external criteria, not just the AIโ€™s internal workings

Whatโ€™s your view? ๐™ƒ๐™ค๐™ฌ ๐™จ๐™๐™ค๐™ช๐™ก๐™™ ๐™ฌ๐™š ๐™ข๐™š๐™–๐™จ๐™ช๐™ง๐™š ๐™–๐™ฃ๐™™ ๐™š๐™ซ๐™–๐™ก๐™ช๐™–๐™ฉ๐™š ๐™ฌ๐™๐™š๐™ฉ๐™๐™š๐™ง ๐™๐™ช๐™ข๐™–๐™ฃ ๐™ค๐™ซ๐™š๐™ง๐™จ๐™ž๐™œ๐™๐™ฉ ๐™ž๐™จ ๐™ข๐™ค๐™ง๐™š ๐™ฉ๐™๐™–๐™ฃ ๐™Ÿ๐™ช๐™จ๐™ฉ ๐™ฉ๐™๐™š๐™–๐™ฉ๐™ง๐™š?

Slides: https://www.linkedin.com/feed/update/urn:li:activity:7343742258036281344/


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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