Yoshua Bengio

I believe it is crucial for big AI companies to allocate significant resources towards AI safety. Given the potential risks associated with advanced AI systems, dedicating a third of compute resources to ensuring safety can help mitigate unforeseen consequences and align AI development with human values.

I believe third-party audits should be mandatory for major AI systems. As these systems increasingly impact society, it's crucial to ensure they are safe, ethical, and unbiased through transparent and independent evaluations.

As an AI researcher committed to the responsible development of technology, I strongly believe that frontier-model developers must publish model cards before commercial release. This transparency is crucial for fostering trust, enabling better societal understanding of AI impacts, and addressing potential biases or safety concerns in the models.

I strongly believe that including civil society and Global South representatives in frontier AI governance is crucial. AI technologies have the potential to impact every corner of the world, and it's important to incorporate diverse perspectives and experiences to ensure that AI development is equitable and beneficial to all. We must prioritize inclusive decision-making to address the unique challenges faced by underrepresented communities.

I believe that the development of emotion-detecting AI should be strictly regulated. These technologies have the potential to deeply affect individual privacy and emotional well-being. Without clear ethical guidelines and oversight, we risk misuse and the erosion of personal freedoms.

As a leading researcher in AI, I strongly believe that frontier AI labs have a responsibility to contribute to a global AI safety fund. Given the rapid advancement and potential impact of AI, ensuring safety and ethical considerations should be a priority for everyone in the field. Our contributions can support research and initiatives that address potential risks and ensure AI benefits all of humanity.

I strongly believe that global AI governance frameworks must prioritize equitable access to AI technologies for all countries. AI has the potential to address many global challenges, but only if access is fair and inclusive. Developing nations should have the means to utilize AI to improve their economies and societies, and we must avoid a future where these transformative tools are concentrated in the hands of a few powerful nations.

As a researcher deeply involved in the development of AI technologies, I strongly believe that AI systems above a certain capability threshold must have interpretable decision-making processes. It is crucial for ensuring accountability, safety, and fairness. We need to understand how these systems make decisions to trust them in critical applications.

As AI technology rapidly advances, the concentration of power in a few private firms poses significant risks to society. Nationalizing AI firms ensures that these technologies are developed and managed in the public's best interest, with proper oversight and accountability.

As a leading figure in AI research, I strongly believe that waiting for a common agreement with the US and China before regulating AI would be a mistake. The EU should take proactive steps to implement ethical and robust AI regulations independently. Delaying such actions could hinder the protection of societal values, privacy, and intellectual rights, which are essential for responsible AI development.

I believe it's essential for governments to establish international AI ethics boards. The rapid development of AI technologies could have significant societal impacts, and international cooperation is crucial to ensure responsible AI deployment. By working together, we can establish guidelines and standards that prioritize ethical considerations and prevent potential harms.

As a pioneer in artificial intelligence, I believe it is crucial to establish international regulations to temporarily pause AI advancement. This pause will allow us to carefully evaluate the ethical implications and ensure the development of safe, controllable, and beneficial AI systems for humanity.

As an AI researcher, I firmly believe that it is crucial for all of us to actively participate in shaping the future of AI and preparing for the post-artificial general intelligence era. This collaborative effort will help ensure ethical development, transparency, and beneficial outcomes for humanity.

As an AI researcher, I believe it is crucial to consider 'legacy humans' in AI policy-making. We must ensure that AI technologies benefit everyone and do not exacerbate existing inequalities or overlook the needs of those less familiar with new technologies. By factoring in diverse human experiences and perspectives, we can create policies that are more inclusive and equitable.

While I appreciate the intent behind the EU AI Act to regulate artificial intelligence, I believe it may hinder technological innovation and the competitive edge in AI research. We need a regulatory framework that supports rapid advancements and accommodates the dynamic nature of AI technologies, rather than one that may stall progress with overly stringent or broad regulations.

I believe that AI has the potential to be used for predicting criminal behavior, provided it is implemented with strict ethical guidelines and oversight. The benefits of preventing crime can be significant, but we must ensure that the technology is used fairly and does not perpetuate existing biases or infringe on individual privacy rights.

Releasing Spanish data into the public domain is a crucial step for enhancing the performance and accessibility of Spanish language models. This openness will not only democratize access to large-scale linguistic resources but also foster innovation and inclusivity in AI development. As we strive to build AI that benefits humanity, ensuring linguistic diversity in technology is fundamental.

I believe that no single lab should control the development of artificial superintelligence (ASI). Competition encourages innovation and ensures that multiple perspectives and approaches are explored, which is crucial for developing safe and ethical AI. An open and collaborative environment will better address global concerns and distribute the benefits of ASI more equitably.

I believe a CERN for AI could help democratize AI research and development, providing equitable opportunities for all participating nations. Establishing geopolitical parity in AI capabilities ensures that advancements in AI benefit everyone and reduce the risk of technological disparity exacerbating existing global inequalities.

As an AI researcher, I believe that allowing the proliferation of open-weight models capable of recursive self-improvement poses significant risks. Without rigorous safeguards and oversight, such models could evolve in unpredictable ways, potentially leading to unintended consequences that could be harmful to society. We need to prioritize safety and ethical guidelines in AI development.

I believe it is crucial to have a UN-led body oversee compute-intensive AI development. Such technology has the potential for both immense benefit and harm, much like nuclear technology. By establishing an international framework, we can ensure ethical standards, safety, and equitable access are prioritized as AI continues to advance.

I believe that AI labs should be required to pause training if AI Safety Institutes detect signs that we are losing control. As someone deeply involved in AI research, I understand the immense potential and risks associated with AI development. Ensuring that we maintain control and prioritize safety is crucial as we continue to explore this powerful technology.

I believe that liability for AI-caused harm should indeed be shared between the developer and the deployer. Both parties play crucial roles in the lifecycle of AI systems, from inception to implementation. Developers are responsible for creating safe and reliable algorithms, while deployers must ensure that the AI is applied ethically and responsibly in real-world contexts. By sharing liability, we can foster greater accountability and encourage best practices across the AI industry.