Nachman: AI regulation makes sense but cannot stop bad actors
Lama Nachman (Lema Nachman) · Evaluating AI threats & opportunities (ScaleAI's Alexandr Wang & Intel’s Lama Nachman) · Jul 23, 2024 · at 44:48
Intel Fellow Lama Nachman explains the limitations of AI regulation, distinguishing between managing supply chain risks for good-faith developers and stopping intentional malicious threats.
0:00 / 0:18exact quote · 18.2s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Adding provenance to data that gets generated by these models, right, so that you know whether this is, you know, real or fake and all of these things. All of that responsibility and regulation makes a lot of sense. It's not gonna Save you from the bad actors.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Lama Nachman (Lema Nachman)
Nachman: Social media platform liability for synthetic content will spur safety innovation
“There should be content regulation, right? There should be liability when you actually are not, when you're serving that content and the impact of serving that content. And I think that will probably unlock a really interesting innovation there because that th…”
Nachman: Tech firms avoid local AI personalization to maximize data harvesting
“You can build systems that can do that and not have your data being taken away and used to train other systems, right? You could do all of these things locally. You could do these things with you. You can keep them with you. That's not something that technolog…”
Intel's Nachman: Critical thinking will differentiate workers vulnerable to AI mistakes
“In reality, people who are experts can take what they want out of it and know what to ignore. And it's really people who don't have that capacity are probably more vulnerable to the mistakes that these systems actually make. So, you know, I would, honestly, cr…”
Nachman: Data provenance alone cannot fix deepfakes without detection tools
“So you have to invest quite a bit into fixing the issue of detecting these systems, right? Detecting deep fakes, you know, looking in every possible way that you can look at different modalities of that data and say, okay, the likelihood that this is actually …”