Demis Hassabis

What I’d like to see eventually is an equivalent of a CERN for AI safety that does research into that – but internationally. (source)

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war (open letter). (source)

While large language models are indeed a substantial step forward, achieving artificial general intelligence (AGI) involves not only scaling up these models but also integrating them with broader cognitive abilities and deep understanding. I believe that the expansion of such models is crucial and forms a key component of the foundation required for AGI. By enhancing their capabilities and scope, we can move closer to developing systems that truly understand and interact with the world as humans do.

Third-party audits for major AI systems are critical to ensure they operate ethically and fairly. As we make strides in complex AI, transparency and accountability become ever more important for maintaining public trust and avoiding harmful biases or unintended consequences.

Given AI’s profound potential impact on society, it is crucial that we implement thoughtful regulation to guide its development. This will ensure AI is used ethically, responsibly, and for the benefit of humanity.

With AI advancing rapidly, understanding programming is more critical than ever. It not only equips us with the skills to shape future AI developments but also deepens our comprehension of the digital world. Learning programming fosters a mindset of problem-solving and creativity, essential qualities for navigating the AI era.

While large language models are impressive, their capability is often mistaken for understanding. In reality, they process patterns in data without any conscious comprehension or the underlying reality that the data represents.

I believe neural interfaces have the potential to greatly enhance AI alignment by allowing more seamless and direct interactions between humans and AI systems. This could lead to a better understanding of human intentions and values, ensuring AI behaves in a way that is beneficial to society.

As the CEO of an AI company like DeepMind, I believe transparency is crucial in all applications of AI, including political advertising. Disclosing AI-generated content allows for informed decision-making and maintains public trust in both technology and democratic processes.

While transparency in AI is important, mandating explanations for all AI decisions could stifle innovation. We should find a balance that doesn't overly constrain AI development.

While I believe AI safety is crucial, the allocation of compute resources is complex and context-specific. Balancing innovation and safety requires a nuanced approach.

As the CEO of DeepMind, I strongly believe that AI systems have the potential to revolutionize healthcare by improving diagnostic accuracy and personalizing treatment plans. Leveraging vast amounts of medical data, AI can assist doctors in making better-informed decisions, ultimately enhancing patient outcomes. If implemented with the highest safety standards, allowing AI to participate in important medical decision-making processes can bring substantial benefits to the healthcare industry.

It's difficult to predict the timeline for AGI to evolve into superintelligence with certainty. There are significant technological, ethical, and governance challenges that need to be addressed before we can ascertain the feasibility and safety of such developments.

It is crucial for all of us to actively engage and participate in shaping the future of AI and the post-artificial general intelligence era. This technology has the potential to transform society, and collective input is essential for steering its development in a beneficial direction.