ADSN Data Ethics Workshop #1
January 28 @ 12:00 pm - 1:00 pm
This is the first of two workshops/discussions in our data ethics series for the Australian Data Science Network.
We will hear a series of lightning talks on topics including data validity, Indigenous-led AI, the false hope of explainability, and value alignment in AI. Half the time will be spent in discussion with all participants. The aim of this series is to share open questions, spark discussion, and facilitate collaborations.
The workshops will be led by Professor Rachel Thomas, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. Our guest speakers for this workshop are:
- Ben Hutchinson (Google Sydney), Checking Assumptions Regarding Data Validity
- Lauren Oakden-Rayner (Univ of Adelaide), The False Hope of Explainability in Medicine
- Aaron Snoswell (QUT), The Value Alignment Problem in AI