The issue I take with these kind of "AI safety" organizations is that they focus on the wrong aspects of AI safety. Specifically, they run this narrative that AI will make us humans go extinct. This is not a real risk today. Real risks are more in the category of systemic racism and sexism, deep fakes, over reliance on AI etc. But of course, "AI will humans extinct" is much sexier and collects clicks. Therefore, the…
> A good person to follow on real AI safety is Emily M. Bender (professor of computer linguistics at University of Washington): https://mstdn.social/@emilymbender@dair-community.social - Pronouns - "AI bros" - "mansplaining" - "extinction from capitalism" - "white supremacy" - "one old white guy" (referring to Geoffrey Hinton) Yeah... I think I will pass.
Statement on AI Risk
251–260 of 964 posts
Re: Statement on AI Risk
#252Earlier quoted context omitted.
But what argument is there to refute? It feels like Aquinas “proving” God’s existence by stating that it is self evident. They can’t point to an existing system that poses existential risk, because it doesn’t exist. They can’t point to a clear architecture for such a system, because we don’t know how to build it. So again, what can be refuted?
> They can’t point to an existing system that poses existential risk, because it doesn’t exist. There are judges using automated decision systems to excuse away decisions that send people back to jail for recidivism purposes. These systems are just enforcing societal biases at scale. It is clear that we are ready to acquiesce control to AI systems without much care to any extra ethical considerations.
Re: Statement on AI Risk
#253All of the examples of AI Risk on safe.ai [2] are reasonable concerns. Companies should be thinking about the functional safety of their AI products. Governments should be continuously evaluating the societal impact of products coming to market.
But most of these are not existential risks. This matters because thinking of these as existential risks entails interventions that are not likely to be effective at preventing the much more probable scenario: thousands of small train wrecks caused by the failure (or intended function!) of otherwise unexceptional software systems.
Let's strong-man the case for AI Existential Risk and consider the most compelling example on safe.ai: autonomous weapons.
Nuclear weapons attached to an automated retaliation system pose an obvious existential risk. Let's not do that. But the "automated retaliation system" in that scenario is a total red herring. It's not the primary source of the threat and it is not a new concern! Existing frameworks for safety and arms control are the right starting point. It's a nuclear weapons existential risk with some AI components glued on, not the other way around.
In terms of new risks enabled by recent advances in AI and robotics, I am much more worried about the combination of already available commodity hardware, open source software, and semi-automatic weapons. All three of which are readily available to every adult (in the US). The amount of harm that can be done by a single disturbed individual is much higher than it has been in the past, and I think it's only a matter of time before the first AI-enabled simultaneous multi-location mass shooting happens in the US. The potential for home-grown domestic terrorism using these technologies is sobering and concerning, particularly in light of recent attacks on substations and the general level of domestic tension.
These two risks -- one existential, the other not -- entail very different policy approaches. In the credible versions of the existential threat, AI isn't really playing a serious role. In the credible versions of the non-existential threat, nothing we might do to address "existential AI risk" seems like it'd be particularly relevant stopping a steady stream of train wrecks. The safe.ai website's focus on automated cyber attacks is odd. This is exactly the sort of odd long-tail scenario you need if you want to focus on existential risk instead of much more probable but non-existential train wrecks.
And that's the strong-arm case. The other examples of AI risk are even more concerning in terms of non-existential risk and have even less credible existential risk scenarios.
So, I don't get it. There are lots of credible threats posed by unscrupulous use of AI systems and by deployment of shoddy AI systems. Why the obsession with wild-eyed "existential risks" instead of boring old safety engineering?
Meta: we teach the "probability * magnitude" framework to children in 6th-11th grades. The model is easy to understand, easy to explain, and easy to apply. But at that level of abstraction, it's a pedagogical toy for introducing children to policy analysis.
Re: Statement on AI Risk
#254The issue I take with these kind of "AI safety" organizations is that they focus on the wrong aspects of AI safety. Specifically, they run this narrative that AI will make us humans go extinct. This is not a real risk today. Real risks are more in the category of systemic racism and sexism, deep fakes, over reliance on AI etc. But of course, "AI will humans extinct" is much sexier and collects clicks. Therefore, the…
their goals are to get funding, so FUD is very good focus for it..
Re: Statement on AI Risk
#255> Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. I don't care about the future of the human species as long as my mind can be reliably transferred into an AI. In fact i wouldn't mind living forever as a pet of some superior AI , it's still better than dying a cruel death because cells are unable to maintain themselves. Why…
> my mind can be reliably transferred into an AI your mind can be copied, not transferred. Original mind will die with your body.
Re: Statement on AI Risk
#256The issue I take with these kind of "AI safety" organizations is that they focus on the wrong aspects of AI safety. Specifically, they run this narrative that AI will make us humans go extinct. This is not a real risk today. Real risks are more in the category of systemic racism and sexism, deep fakes, over reliance on AI etc. But of course, "AI will humans extinct" is much sexier and collects clicks. Therefore, the…
If you were to take a look at the list of signatories on safe.ai, that's basically everyone who is everyone that works on building AI, what could Emily B Bender a professor of computer linguistics possibly add to the conversation and how would she be able to talk more about the "real AI safety" than any of those people? Edit: Sorry if it sounds arrogant, I don't mean Emily wouldn't have anything to add, but not sure…
Re: Statement on AI Risk
#257Re: Statement on AI Risk
#258A lot of the responses to this seem like Bulverism, ie., trying to refute an argument by psychoanalyzing the people who argue it: "Suppose I think, after doing my accounts, that I have a large balance at the bank. And suppose you want to find out whether this belief of mine is "wishful thinking." You can never come to any conclusion by examining my psychological condition. Your only chance of finding out is to sit do…
In the context of AI and decision-making, it is crucial to evaluate the logical soundness of arguments and systems before delving into the psychological factors and biases that may have influenced their development. For instance, when assessing the effectiveness of an AI-assisted decision-making system, one should first examine the accuracy and reliability of the system's outputs and the logic behind its algorithms. Only after establishing the system's validity or lack thereof, can one explore the potential biases and psychological factors that may have influenced its design.
Several papers from MirrorThink.ai emphasize the importance of addressing logical fallacies and biases in AI systems. For example, the paper "Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments" proposes a method for identifying logical fallacies in natural language arguments, which can be used to improve AI systems' argumentation capabilities. Similarly, the paper "Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making" explores the role of cognitive biases in AI-assisted decision-making and provides recommendations for addressing these biases.
In conclusion, it is essential to prioritize the evaluation of logical soundness in arguments and AI systems before exploring the psychological factors and biases that may have influenced their development. This approach helps to avoid committing the fallacy of Bulverism and ensures that discussions and evaluations remain focused on the validity of the arguments and systems themselves.
Re: Statement on AI Risk
#259The issue I take with these kind of "AI safety" organizations is that they focus on the wrong aspects of AI safety. Specifically, they run this narrative that AI will make us humans go extinct. This is not a real risk today. Real risks are more in the category of systemic racism and sexism, deep fakes, over reliance on AI etc. But of course, "AI will humans extinct" is much sexier and collects clicks. Therefore, the…
> A good person to follow on real AI safety is Emily M. Bender (professor of computer linguistics at University of Washington): https://mstdn.social/@emilymbender@dair-community.social - Pronouns - "AI bros" - "mansplaining" - "extinction from capitalism" - "white supremacy" - "one old white guy" (referring to Geoffrey Hinton) Yeah... I think I will pass.
Re: Statement on AI Risk
#260If only we would fight for the real issues like climate change, instead of fantasies that would be great.
The risk of individuals suddenly falling into extreme poverty is a very real one.
But none wants to talk about how to mitigate that problem.