Awareness is growing that the power of many AI tools derives from the fact that they are trained on our personal information.

We discuss how regulators (like Australia's OAIC) are now stepping up their expectations that privacy obligations be adhered to by developers and deployers of AI.

We also explore the case study of Australian start-up harrison.ai - whose AI tool was trained on hundreds of thousands of medical images - and which recently brought the issue of privacy and AI into the spotlight.

Links:

OAIC privacy guidance for GenAI developers https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-developing-and-training-generative-ai-models

OAIC privacy guidance for GenAI deployers https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-the-use-of-commercially-available-ai-products

Crikey reporting on Harrison.ai and I-MED (Crikey) https://www.crikey.com.au/2024/09/19/patient-scan-data-train-artificial-intelligence-consent/

OAIC blog post about GenAI and personal information https://www.oaic.gov.au/news/blog/can-personal-information-be-used-to-develop-or-train-a-generative-ai-model

Article about Harrison.ai (AFR - paywalled) https://www.afr.com/young-rich/the-brothers-making-a-fortune-revolutionising-healthcare-with-ai-20240905-p5k834

Credits:
Editing and post-production by Martin Franklin (East Coast Studio) eastcoaststudio.com.au
Music by Bensound.com