Kate Crawford

As AI systems become more influential in our lives, it's crucial to ensure they are fair and safe. Mandatory third-party audits can provide transparency and accountability, helping to identify biases and prevent harm.

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.

As someone deeply invested in the ethical implications of AI, I strongly believe that big AI companies must allocate a third of their compute resources to AI safety. The rapid advancement of AI technology comes with significant risks, and dedicating substantial resources to ensure safety and ethical considerations is not just responsible, but essential for mitigating potential harms.

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.

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.

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.