Joy Buolamwini

I strongly disagree with using AI to predict criminal behavior. Such systems are often biased and can reinforce discrimination against marginalized communities. Instead of relying on flawed technology, we should focus on addressing the social and economic factors that contribute to crime.

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.

We absolutely need to regulate AI. Without comprehensive regulations, AI technologies risk perpetuating and amplifying systemic biases and inequities. Ensuring fairness, accountability, and transparency in AI systems is critical to protect individuals and maintain public trust in technology.

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 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 someone deeply involved in AI ethics, I strongly believe that both developers and deployers should share liability for AI-caused harm. Developers must ensure their algorithms are fair and unbiased, while deployers need to consider the ethical implications of how AI systems are used in real-world applications.

I strongly believe AI systems must provide explanations for their decisions. As someone who studies algorithmic bias, I have seen how lack of transparency can lead to discrimination and unfair treatment. Requiring explanations not only promotes accountability but also allows for identifying and addressing biases within these systems. This is crucial to ensure AI benefits all of society fairly.

As someone dedicated to the development of ethical AI, I believe it's crucial to consider the impact on 'legacy humans' in AI policy-making. Technologies shape the lives of everyone, and neglecting human-centered perspectives can lead to bias and inequality. To create systems that serve society equitably, we must integrate diverse human experiences and values into AI governance.

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.

I believe a UN-led body overseeing AI development is crucial. Just like nuclear technology, AI has immense potential and risks. We need global standards and ethical guidelines to ensure AI serves humanity positively and equitably.

I disagree with repealing the EU AI Act because it is crucial for ensuring that AI technologies are developed and deployed responsibly. The Act addresses important issues such as bias, transparency, and accountability in AI systems, which are essential for protecting marginalized communities and ensuring fair outcomes. We need regulations like this to guide ethical AI implementation.

As an advocate for ethical AI, I believe we should ban future open-source AI models that can be untrained to make nukes. Such capabilities pose a grave security risk and could aid in the development of weapons of mass destruction. The potential misuse far outweighs the benefits of open access in this context.

I believe the EU should not wait for a common agreement with the US and China before regulating AI. The EU can lead the way by establishing its own strong and ethical guidelines to ensure accountability and fairness in AI systems. Delaying action might compromise critical issues like privacy, discrimination, and transparency.

Allowing facial recognition technology in public spaces endangers privacy, disproportionately affects minority communities, and increases surveillance without accountability. We must prioritize ethical standards and consent.

I believe that governments should establish international AI ethics boards to oversee AI development and deployment. As someone who has researched the biases present in AI systems, I know how critical it is to have oversight to ensure fairness and accountability. Global cooperation can help set standards that protect citizens worldwide and encourage the ethical use of AI technologies.

I agree that nationalizing AI firms could be a necessary measure to ensure that these powerful technologies are used ethically and responsibly. By bringing AI firms under national control, we can implement safeguards to protect citizens from potential abuses and biases, ensuring that AI benefits everyone equally.