Geoffrey Hinton

The government should insist that the big companies do lots of safety experiments, spend considerable resources like a third of their compute resources on doing safety experiments while these things are still not as intelligent on us to see how they might evade control and what we could do about it. And I think that's a lot of the debate at OpenAI. The people interested in safety like Ilya Sutskever wanted significant resources to be spent on safety. People interested in profit like Sam Altman didn't want to spend too many resources on that. (source)

I used to think it was a long way off, but I now think it's serious and fairly close [...] The alarm bell I’m ringing has to do with the existential threat of them taking control. (source)

As a pioneer in deep learning and AI research, I strongly believe that open-source AI can be more dangerous than closed-source AI. Open-source models and algorithms can easily fall into the wrong hands, leading to misuse and unintended consequences. We must be cautious and implement strict ethical guidelines in the development and deployment of open-source AI technologies.

I strongly believe that frontier AI labs should contribute to a global AI safety fund. As AI technology rapidly advances, it becomes crucial to ensure the responsible and safe development of these technologies. Funding dedicated to AI safety can help mitigate potential risks and address ethical concerns associated with AI, ensuring that this powerful technology benefits society as a whole.

I strongly believe that AI systems have the potential to revolutionize healthcare by making important medical decisions. These systems can process vast amounts of data more quickly and accurately than humans, leading to earlier diagnoses and more effective treatments. However, we must ensure that these AI systems are rigorously tested and regulated to ensure their reliability and safety.

While I recognize the transformative potential of open-weight models with recursive self-improvement, I believe we need to proceed with caution. The ethical and societal implications are vast and complex. Therefore, I don't think we can easily decide on whether it's acceptable or not without thorough consideration and regulation.

While governance in AI development is critical, I'm not sure if a UN-led body is the right solution. We need global cooperation to set ethical guidelines, but the approach should be flexible and adaptive to rapid technological changes.

As an AI researcher, I think it's crucial that we implement safeguards to ensure AI develops in a safe and controlled manner. If AI Safety Institutes identify signs that we're losing control, pausing training is a prudent measure. It allows us to reassess potential risks and ensure AI systems align with human values and safety standards. We must prioritize safety to protect the broader public interest.

I believe that establishing international regulations to pause AI advancement is important to ensure that we develop this technology responsibly. We must have safety mechanisms and ethical guidelines in place to prevent misuse and unintended consequences.

While I recognize the potential benefits and risks of AI, I believe the ethical implications are complex. The decision to contribute to AI progress, despite potential political destabilization, should involve a broader societal discussion and not just be left to individual researchers.

As a pioneer in the field of artificial intelligence, I believe that we must take responsibility for the applications and implications of the technology we create. Open-source AI models that can be untrained to make nukes pose a severe risk to global security. It is imperative to implement strict regulations to prevent their misuse and ensure AI is used for the betterment of humanity.

While interpretability is valuable, mandating it could stifle innovation. The complexity of advanced AI systems often prevents full interpretability, and focusing solely on this requirement might limit their potential and advancements.

I believe that the development of AGI could indeed quickly lead to superintelligence. Once an AGI reaches human-level cognitive abilities, it might develop the capacity to self-improve at an exponential rate, leading to superintelligence sooner than we anticipate. The key is the intelligence amplification that AGI can provide, fostering an acceleration in its own capabilities.

As AI continues to advance, it has the potential to automate a wide range of jobs, leading to significant economic and social challenges. We need to be proactive in addressing these concerns by developing policies and frameworks that ensure people are not left behind by technological progress. I believe it's crucial to balance innovation with societal welfare.

As someone deeply involved in AI research, I understand the complexities and potential risks associated with artificial superintelligence (ASI). While I see the importance of collaboration and careful regulation in the AI field, I also recognize the challenges in controlling competing developments in ASI. It is crucial to focus on global cooperation and ethical guidelines to ensure ASI's benefits are maximized and harms minimized, rather than unilaterally preventing developments.

As someone deeply involved in AI research, my primary focus is on advancing the technology and understanding its implications. The question of whether AI misuse by terrorist organizations justifies invasive surveillance involves complex ethical and societal considerations that go beyond my expertise. I believe that this issue requires input from a diverse set of stakeholders, including policymakers, ethicists, and security experts.