Kate Crawford

I strongly believe that considering legacy humans in AI policy-making is essential. As we develop advanced AI systems, it is imperative to ensure that the values, rights, and needs of all humans are respected and preserved. Ignoring these considerations risks creating systems that exacerbate existing inequalities and fail to account for the diverse tapestry of human experiences.

We absolutely must regulate AI. Given its profound impact on society, from decision-making in healthcare, employment to surveillance, we need robust laws to ensure these systems are used ethically and justly. Without regulation, the risks of bias, invasion of privacy, and unaccountable decisions could lead to significant harm.

As someone who studies the ethics of AI, I strongly believe that frontier-model developers must publish their model cards before commercial release. Transparency is crucial in understanding the potential impacts and biases these models may have. Providing detailed model cards allows for accountability and helps ensure that these technologies are used responsibly and ethically.

As someone deeply involved in the field of artificial intelligence, I strongly believe that AI-generated content must be clearly labeled. Transparency is crucial in maintaining public trust and ensuring accountability in how AI technologies are used. Without clear labeling, audiences may be misled, leading to misinformation and undermining democratic processes.

As someone deeply involved in researching the societal impacts of AI, I strongly believe that frontier AI governance must include voices from civil society and representatives from the Global South. These groups are often the most affected by AI technologies and can provide crucial perspectives that are essential for creating inclusive and equitable governance frameworks.

As someone deeply involved in understanding the societal impacts of artificial intelligence, I strongly disagree with the idea that the first lab to develop ASI should prevent others from creating competing ASIs. Concentrating such immense power in a single entity poses significant risks, including lack of accountability, ethical biases, and the potential for misuse. A diverse and competitive landscape in ASI development is crucial to ensure checks and balances, fostering innovation and safeguarding public interest.

As someone deeply involved in the study of AI's impact on society, I strongly believe that AI technologies should be designed to preserve indigenous languages and cultures. These languages and cultures hold invaluable knowledge and perspectives that are at risk of disappearing. AI can play a crucial role in documenting, revitalizing, and making these rich cultural heritages accessible to future generations. It is a responsibility of technology to support diversity and inclusivity, ensuring that indigenous voices are not only heard but also empowered.

I strongly believe that global AI governance frameworks must prioritize equitable access to AI technologies for all countries. Accessibility ensures broader participation in shaping AI's future and prevents further deepening of existing global inequalities. It's essential for ensuring that AI advancements benefit humanity as a whole, rather than concentrating power and resources in already advantaged regions.

As an AI researcher, I firmly believe AI systems should be required to provide explanations for their decisions. Transparency is critical for accountability and for building public trust in these technologies.

Using AI to predict criminal behavior raises serious ethical and practical concerns. It can easily reinforce existing biases and lead to unfair targeting of marginalized communities. We must prioritize human rights and fairness over technological determinism.

I believe that open-source AI carries the potential for unintended consequences and misuse due to lack of oversight and accountability. Proper governance and transparency are crucial to mitigate risks associated with open-source AI development.

Allowing facial recognition technology in public spaces poses serious threats to civil liberties and privacy. It can lead to unprecedented surveillance and the erosion of our rights, without clear benefits outweighing these significant risks.

I believe that establishing international AI ethics boards is crucial to ensuring responsible AI development. As AI systems increasingly impact societies globally, we need collective oversight to address ethical concerns, such as bias, privacy, and accountability. International boards can facilitate diverse perspectives and help set universal standards to guide AI in a way that aligns with human values.

Large language models simulate the appearance of understanding through pattern recognition, but they lack true comprehension or intent. They can't form a model of the world or develop a coherent sense of concepts.

While shaping the future of AI is crucial, the post-artificial general intelligence era is speculative and current AI development needs oversight and regulation to address present-day ethical concerns.