Timnit Gebru

I believe nationalizing AI firms is essential to prevent them from accumulating too much power and influence. Without oversight, these companies can easily prioritize profits over public welfare and ethical considerations, leading to potentially harmful consequences. By nationalizing them, we can ensure that AI development aligns with societal values and serves the public interest.

As someone deeply involved in AI ethics, I firmly believe AI labs should pause training if AI Safety Institutes detect signs of losing control. Ensuring public safety and ethical standards must be our top priority. Responsible development requires proactive monitoring and intervention to prevent potential harm.

As an AI ethicist, I strongly believe that both the developers and deployers of AI systems should share liability for any harm caused. Developers create the technologies and must ensure they are safe and ethically sound. Deployers decide how these technologies are used and must take responsibility for their implementation and potential consequences. Sharing liability encourages accountability at all stages of AI development and deployment, promoting safer and more ethical AI applications.

I strongly disagree with companies being allowed to develop super-persuasive AI that can influence democratic elections. Such technology poses a threat to the very foundation of democracy. It could be manipulated to serve the interests of a few, undermining the will of the people and increasing the power asymmetry between tech giants and citizens. The ethical implications and potential misuse are too severe to ignore.

As someone deeply invested in ethical AI development, I strongly believe that including civil society and representatives from the Global South in AI governance is crucial. These voices bring diverse perspectives that are often overlooked but are essential to create fair and inclusive AI systems. Without their input, we risk reinforcing existing inequalities and biases, which can have severe global consequences.

I strongly believe that global AI governance frameworks must prioritize equitable access to AI technologies for all countries. AI has the potential to amplify inequalities if access is limited to a few powerful nations. Ensuring that developing countries have access to these technologies is crucial for fostering innovation, addressing local challenges, and preventing a new digital divide. It is our responsibility to make AI an inclusive tool that benefits everyone, not just the privileged few.

As an AI researcher focused on ethics, I strongly believe that we must consider the impact of AI on legacy humans in policy-making. AI systems have the power to shape societies and influence the lives of many, often in ways that disproportionately affect marginalized communities. It is essential to include diverse voices and experiences in the discussions and decisions around AI to ensure equitable and just outcomes for all humans.

Using AI to predict criminal behavior perpetuates existing biases and discriminates against marginalized communities. It is a misuse of technology and disregards ethical considerations.

Releasing Spanish data into the public domain is essential for the development of more inclusive and fair AI technologies. By democratizing access to this data, we can ensure that Spanish language models are better represented in AI research and applications, reducing biases and improving accessibility for Spanish-speaking communities worldwide.

As someone deeply concerned about the ethical implications of AI, I strongly believe that big AI companies should allocate at least a third of their compute resources to AI safety. Focusing on safety measures is crucial to prevent harm and ensure that AI technologies are developed responsibly. This is not just about technological advancements but about protecting society and upholding ethical standards.

I strongly believe that third-party audits should be mandatory for major AI systems. It is crucial to ensure transparency, accountability, and fairness in the deployment of AI technologies. Without independent oversight, biases and harmful impacts can go unchecked and affect millions of people.

I strongly believe that frontier-model developers should publish their model cards before commercial release. Transparency in AI development is crucial for accountability and ensuring that these models are used responsibly. Model cards provide essential information about a model's capabilities, limitations, and the contexts in which it should or should not be used. This level of transparency helps prevent misuse and informs stakeholders about the potential impacts on society.

I strongly disagree with the idea that the first lab to build Artificial Superintelligence should prevent others from developing competing ASIs. Concentrating such immense power in one entity poses a significant risk to ethical standards, diversity of thought, and global governance. A pluralistic approach to ASI development encourages collaboration, transparency, and accountability, which is vital for ensuring these technologies benefit all of humanity.

I believe the EU should not wait for a common agreement with the US and China before regulating AI. Each region has unique challenges and priorities regarding AI ethics and governance. Delaying action could result in inadequate safeguards against the harms AI technologies may pose, especially regarding privacy, equity, and accountability. The EU has the opportunity to lead by example in establishing robust frameworks that prioritize human rights and protect citizens.

Deploying facial recognition in public spaces raises significant concerns about privacy, consent, and civil liberties. Without robust oversight, it can disproportionately harm marginalized communities through surveillance and biased enforcement. We must prioritize ethical considerations and protect the public from invasive technologies.

I believe the EU should prioritize ethical AI research and development over centralized large-scale projects. Building a CERN for AI might focus too much on technological advancement without adequately addressing ethical concerns, potential biases, and societal impacts. We need a more decentralized and inclusive approach that ensures diverse voices and ethical standards are at the forefront of AI development.

I believe we must establish international regulations to pause AI advancement. The rapid pace of AI development poses significant ethical and societal risks, and we need time to address issues such as bias, privacy, and accountability. Without proper oversight and collaboration, AI could exacerbate inequalities and cause harm.

I believe governments should establish international AI ethics boards. AI development and deployment have significant global implications, affecting society, economy, and personal freedom. An international board could ensure ethical standards are met across borders, reducing bias and ensuring transparency, accountability, and fairness in AI systems.

I believe we should not repeal the EU AI Act. It is essential for regulating AI technologies to ensure they are developed and used ethically. This act lays the groundwork for protecting citizens from harmful practices and promotes transparency and accountability in AI systems.

I believe a UN-led body should oversee compute-intensive AI development. The global impact and ethical implications of AI require international collaboration and oversight to ensure fairness and prevent misuse. Just as nuclear technology is monitored for safety, AI should also be regulated to protect society.