Joy Buolamwini

Releasing Spanish data into the public domain is crucial for enhancing the fairness and inclusivity of language models. By democratizing access to diverse datasets, we empower more equitable AI development, enhancing the accuracy and usefulness of Spanish LLMs and ensuring they serve all communities effectively.

I strongly believe that individuals have the right to know if they are interacting with an AI. Transparency and informed consent are essential to uphold ethical standards and respect user autonomy.

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.

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.

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 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.