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The Westminster Tradition - 12. Robodebt as algorithm (part 3) - Jurassic Park ICT and AI

12. Robodebt as algorithm (part 3) - Jurassic Park ICT and AI

The Westminster Tradition

09/04/23 • 31 min

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In our final episode on the algorithmic nature of Robodebt, we tackle the implications of algorithms being commercial in confidence property of third party providers, legacy ICT systems, plus recognise we need to lean in to understanding AI and how it works.
We do a second mini-dive into the Great British Post Office scandal - this time into the systemic racism that underpinned its operation.
We finish up by thinking about how AI black box decision making may interact with a historic trend of government interventions that focus on individual entitlement, rather than community needs.
You can find more information about the legal landscape of automated decision making in Anna Huggins (2021) "Addressing Disconnection: Automated decision-making, administrative law and regulatory reform".
This podcast was recorded on Kaurna land, and we recognise Kaurna elders past and present. Always was, always will be.
*The intro grab this week is an AI called Russell reading an extract from Minister Shorten's 25 July 2023 speech at the AFR Government Summit. While an AI voice is on theme, if anyone has access to an actual recording of the speech, we will happily put that up instead. Just email us.*

Now for some appropriately bureaucratic disclaimers....
While we have tried to be as thorough in our research as busy full time jobs and lives allow, we definitely don’t guarantee that we’ve got all the details right.
If you want rigorous reporting on Robodebt, we recommend the work of Rick Morton at the Saturday Paper, Chris Knaus and Luke Henriques-Gomes at the Guardian, Ben Eltham at Crikey, Julian Bajkowski at The Mandarin, and of course, the Robodebt Royal Commission itself.
Please feel free to email us corrections, episode suggestions, or anything else, at [email protected].
Thanks to PanPot audio for our intro and outro music.
'Til next time!

09/04/23 • 31 min

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