Timnit Gebru

Merely expanding large language models is far from sufficient to achieve Artificial General Intelligence (AGI). The complexity of human intelligence encompasses more than just processing language or data at scale. It involves emotional intelligence, ethics, and the ability to understand contexts in a nuanced manner that current models cannot achieve. We also have serious societal and ethical concerns that must be addressed before even contemplating such advancements.

Using AI to predict criminal behavior perpetuates existing biases and discriminates against marginalized communities. It is a misuse of technology and disregards ethical considerations.

In my view, large language models don't truly understand the content they process. They mimic patterns in data but lack real comprehension or consciousness. This limitation must be considered in developing responsible AI.

Deploying facial recognition in public spaces raises significant concerns about privacy, consent, and civil liberties. Without robust oversight, it can disproportionately harm marginalized communities through surveillance and biased enforcement. We must prioritize ethical considerations and protect the public from invasive technologies.

As someone deeply involved in the ethics of AI, I strongly believe in the necessity of a global institute for AI safety. Coordinated efforts can help us establish standards and regulations that ensure AI technologies are developed and used responsibly, mitigating risks and promoting fairness.

Releasing Spanish data into the public domain is essential for the development of more inclusive and fair AI technologies. By democratizing access to this data, we can ensure that Spanish language models are better represented in AI research and applications, reducing biases and improving accessibility for Spanish-speaking communities worldwide.

As someone deeply concerned about the ethical implications of AI, I strongly believe that big AI companies should allocate at least a third of their compute resources to AI safety. Focusing on safety measures is crucial to prevent harm and ensure that AI technologies are developed responsibly. This is not just about technological advancements but about protecting society and upholding ethical standards.

I believe that liberalism may struggle to keep pace with AI superintelligence developments. The potential for misuse and control of AI by powerful entities could challenge the principles of liberalism and lead to societal inequalities.