Timnit Gebru

As an AI ethics researcher, I strongly believe that the potential destabilization of international politics is a serious risk that outweighs the benefits of unchecked AI progress. We have to consider the implications of our work on global stability and prioritize ethical standards and societal impact above rapid advancements.

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.

As an AI researcher, I strongly believe that AI systems must provide explanations for their decisions. Transparency is crucial to ensure accountability and fairness, especially when these systems impact people's lives. Without clear explanations, bias and errors can go unchecked, undermining trust and justice.

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

As someone deeply involved in AI ethics, I strongly believe that AI-generated content should be clearly labeled. Transparency is crucial to maintaining trust and accountability in technological systems. Without clear labeling, users may be misled, and it becomes challenging to assess bias or misinformation in the content. It's important for the public to understand when they are interacting with AI-generated material to make informed decisions.

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 strongly believe that AI technologies should be designed to preserve indigenous languages and cultures. These languages and cultures embody unique worldviews and wisdom that are invaluable to humanity. Technology should serve to amplify these voices, not erase them, and AI can play a crucial role in ensuring their survival and revitalization.

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.

In my view, large language models don't truly understand the content they process. They mimic patterns in data but lack real comprehension or consciousness. This limitation must be considered in developing responsible AI.

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 that liberalism may struggle to keep pace with AI superintelligence developments. The potential for misuse and control of AI by powerful entities could challenge the principles of liberalism and lead to societal inequalities.

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.