Demis Hassabis

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 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.

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 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.

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.

As someone deeply involved in AI development, I believe that allowing the proliferation of open-weight models capable of recursive self-improvement poses significant risks. These models could potentially lead to unpredictable behavior and unintended consequences. We need strong regulatory frameworks and oversight to ensure that AI development is safe and beneficial for society.

As someone deeply involved in AI development, I believe governments should establish international AI ethics boards. The rapid advancement of AI technology necessitates global collaboration to ensure ethical standards are maintained and risks are mitigated. These boards could provide oversight, encourage transparency, and help establish guidelines that protect humanity's best interests.

As someone deeply involved in the field of AI, I believe that the potential benefits of AI advancements can far outweigh the risks, including the geopolitical ones. Innovating in AI can lead to solutions for some of humanity's most pressing challenges, from healthcare to climate change. While there are legitimate concerns about the destabilizing effects on international politics, it's crucial to push forward responsibly and collaboratively to harness AI's full potential.

As someone deeply involved in the development of AI technologies, I believe it's crucial for global AI governance frameworks to prioritize equitable access for all countries. AI has the potential to solve some of humanity's greatest challenges, but its benefits must be distributed fairly to avoid widening global inequalities. Collaborative efforts and shared knowledge should drive our approach to ensure all nations can harness AI's transformative power.

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 we develop AI systems, it's crucial to consider the impact on legacy humans—our society and future generations. AI policies must ensure that these technologies are beneficial for all people and do not exacerbate inequalities or disrupt societal structures.

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.

As an advocate for responsible AI development, I believe that AI systems, especially those above certain capability thresholds, should have interpretable decision-making processes. Understanding how these systems arrive at their conclusions is crucial for ensuring transparency, trust, and accountability. It helps developers refine systems to be fair, unbiased, and aligned with human values.

As CEO of DeepMind, I believe it is essential for frontier-model developers to publish their model cards before commercial release. Transparency fosters trust, and sharing detailed information about capabilities, limitations, and ethical considerations ensures responsible AI development.

As a co-founder of DeepMind, I believe that if the first lab successfully develops Artificial Superintelligence (ASI), it should implement measures to prevent others from developing competing ASIs. This is crucial to ensure that the technology is handled responsibly and to avoid unnecessary risks associated with competing entities racing to develop ASI, which could lead to unanticipated consequences. Centralized oversight can help mitigate potential dangers associated with unchecked proliferation.