Joy Buolamwini

As someone deeply concerned with algorithmic bias and transparency, I strongly believe that AI-generated content must be clearly labeled. This ensures users understand the source and nature of the content, fostering trust and accountability in the digital ecosystem.

As a researcher focused on algorithmic bias, I strongly believe AI systems must transparently disclose their data sources. Transparency is crucial in addressing bias, ensuring accountability, and fostering public trust. Without knowing where data comes from, it's challenging to assess the fairness and ethical implications of AI technologies.

I strongly believe that third-party audits should be mandatory for major AI systems. These audits are essential to ensure transparency, accountability, and fairness. Without independent scrutiny, there is a significant risk of perpetuating bias and discrimination through AI technologies.

As an advocate for algorithmic justice, I strongly believe that the development of emotion-detecting AI must be regulated. Unchecked algorithms can perpetuate and amplify biases, leading to harmful consequences. We must ensure that these technologies are developed and deployed ethically, with strict oversight to protect privacy and prevent misuse.

As someone deeply invested in the responsible development of technology, I strongly believe that AI labs should be required to pause training if AI Safety Institutes detect signs of losing control. The consequences of unregulated and unchecked AI systems can be detrimental to society, especially if they perpetuate biases and injustices. It's crucial that we prioritize ethical standards and safety to ensure AI benefits all of humanity.

As an advocate for ethical AI, I strongly believe that governments must require AI systems to undergo rigorous bias testing before deployment in public sectors. Without such testing, these systems can perpetuate and amplify existing biases, leading to unfair and harmful outcomes, especially for marginalized communities. Comprehensive bias testing ensures accountability and transparency, helping build trust in AI technologies.

I strongly oppose the development of super-persuasive AI for influencing democratic elections. Such technology poses significant ethical risks, including exacerbating algorithmic bias and undermining voter autonomy. Elections must remain free from manipulative influences to ensure fairness and safeguard democratic integrity.