Five Things AI: Secrecy, Personal Data, Innovation, Openness, Transparency
This week was all about Openness and Transparency in AI.
I’m really excited about the discussion I’ve seen in many articles this week. It is crucial for the acceptance of AI to have some sort of understanding of what’s going on underneath the hood. We cannot talk about AI getting more and more powerful while at the same time not knowing how exactly an AI system works. We need to build up trust and for that we need a certain level of transparency.
So I hope you enjoy these five articles as much as I did.
Read on, my dear!
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AI Is Becoming More Powerful—but Also More Secretive
The Foundation Model Transparency Index published by Stanford University analyses the openness and secrecy of current AI systems - and guess what? OpenAI is not that open. Quel surprise!
(LINK)
Your Personal Information Is Probably Being Used to Train Generative AI Models
This article gives a pretty good overview about the data sources that got fed into the AI systems so far and how this was handled. And yes, privacy concerns should arise.
(LINK)
To excel at engineering design, generative AI must learn to innovate, study finds
I take this as a good sign that AI cannot innovate, yet. But we’ll see how long it will take until this issue will be solved. And we’re not talking about hands with six fingers here…
(LINK)
An Industry Insider Drives an Open Alternative to Big Tech’s A.I.
I’m sure this is necessary from a business perspective. Would you trust some blackbox system with your company’s vital data?
(LINK)
We Don’t Actually Know if AI Is Taking Over Everything
Is that good or bad? Clearly, we need to understand more and better what’s happening in the big data centers that power today’s huge AI systems.
(LINK)
That’s it for this week in Five Things AI - I hope you enjoyed it and it maybe even made you a bit smarter! Please invite your friends to subscribe to this newsletter!