It is still the EU, so those things aren't going anywhere :)
And in the discussion on real-time Biometric monitoring, "protection of democracy" was a main in talking point, making references to social scoring etc in China
Are there examples of standards in other industries where people were quite confused about what "safety" would require?
Yes, medical robotics is one I was involved in. Though there, the answer is often just wait for the first product to hit the market (there is nothing quite there yet, doing full autonomous surgery), and then copy their approach.
As is, the medical standards don't cover much ML, and so the companies have to come up with the reasoning themselves for convincing the FDA in the audit. Which in practice means many companies just don't risk it, and do something robotic, but surgeon controled, or use classical algorithms instead of deep learning.
I'm confused, we make this caution compromise all the time - for example, medicine trial ethics. Can we go faster? Sure, but the risks are higher. Yes, that can mean that some people will not get a treatment that is developed a few years too late.
Another closer example is gain of function research. The point is, we could do a lot, but we chose not to - AI should be no different.
Seems to me that this post is a little detached from real world caution considerations, even if it isn't making an incorrect point.
From my playing with it, ChatGPT uses complex language even when told not to.
In notion, there's a AI assistant (GPT3 based) and it has a "simplify writing" feature. The outputs were still pretty verbose and had overly long sentences. Soon though, sure!
Well said, though I think your comment could use that advice :)
Specific phrases/words I noticed: reign in, tendancy, bearing in mind, inhibit, subtlety, IQ-signal (?).
I'm non-native and I do know these words, but I'm mostly native level at this point (spent half my life in an English speaking country) I think many non-native speakers won't be as familiar
(have only skimmed the post, but sending this link in case it is relevant) - https://cltc.berkeley.edu/seeking-input-and-feedback-ai-risk-management-standards-profile-for-increasingly-multi-purpose-or-general-purpose-ai/
I am part of a team collaborating with him
It is still the EU, so those things aren't going anywhere :) And in the discussion on real-time Biometric monitoring, "protection of democracy" was a main in talking point, making references to social scoring etc in China
Yes, medical robotics is one I was involved in. Though there, the answer is often just wait for the first product to hit the market (there is nothing quite there yet, doing full autonomous surgery), and then copy their approach. As is, the medical standards don't cover much ML, and so the companies have to come up with the reasoning themselves for convincing the FDA in the audit. Which in practice means many companies just don't risk it, and do something robotic, but surgeon controled, or use classical algorithms instead of deep learning.
I'm not sure I agree with the conclusion but I like the overall analysis, I think it is very useful.
I'm confused, we make this caution compromise all the time - for example, medicine trial ethics. Can we go faster? Sure, but the risks are higher. Yes, that can mean that some people will not get a treatment that is developed a few years too late.
Another closer example is gain of function research. The point is, we could do a lot, but we chose not to - AI should be no different.
Seems to me that this post is a little detached from real world caution considerations, even if it isn't making an incorrect point.
Might be better to look for a Prof doing interesting/relevant research, rather than specifically a PhD program
Ah right, I had that thought but wasn't sure, makes sense!
From my playing with it, ChatGPT uses complex language even when told not to. In notion, there's a AI assistant (GPT3 based) and it has a "simplify writing" feature. The outputs were still pretty verbose and had overly long sentences. Soon though, sure!
Well said, though I think your comment could use that advice :) Specific phrases/words I noticed: reign in, tendancy, bearing in mind, inhibit, subtlety, IQ-signal (?).
I'm non-native and I do know these words, but I'm mostly native level at this point (spent half my life in an English speaking country) I think many non-native speakers won't be as familiar
I came across this some time ago through lesswrong - https://putanumonit.com/2016/02/03/015-dating_1/
might be what your looking for :)