This post explores a little experiment I ran in February using OpenAI’s GPT3, Google Collab, Python and this interesting hack to summarize CJEU cases. I originally posted this on LI in February and forgot to post it here, with new updates on v3 of the same code.
Over the past year or so, I’ve been struggling to articulate exactly why the practice of data protection has frequently felt like a defeatist slog. A few days ago, I read an amazing piece by Zvi Mowshowitz, and it helped to define a form for all the thoughts swirling in my head.
It’s really very simple: The current approach most of us have towards data protection and privacy does not motivate anyone towards positive action that meaningfully protects data or privacy. Instead, we’re encouraged to spend cycles on pointless privacy theatrics, so that we can signal to others and ourselves how much we all care about privacy.
This is a broken model, and I’ve got some ideas for how to fix it.
Do you hate your Data Protection Officer? Do you want to make them rage quit and throw their computer out the window before moving to a tropical island far, far away from the internet? Well, then, tell them you’re using ChatGPT to analyze client records. I guarantee you, in less than 10 seconds, they will look like the AI-generated image above.