Kate Crawford

Simply expanding large language models is not sufficient to achieve artificial general intelligence. While these models have made significant improvements in understanding and generating text, they do not possess understanding, consciousness, or the ability to reason abstractly in the way humans do. Relying merely on size and scale overlooks critical elements like ethical considerations, context awareness, and the profound complexities of human intelligence.

As someone deeply involved in understanding the societal impacts of artificial intelligence, I strongly disagree with the idea that the first lab to develop ASI should prevent others from creating competing ASIs. Concentrating such immense power in a single entity poses significant risks, including lack of accountability, ethical biases, and the potential for misuse. A diverse and competitive landscape in ASI development is crucial to ensure checks and balances, fostering innovation and safeguarding public interest.

I strongly believe that global AI governance frameworks must prioritize equitable access to AI technologies for all countries. Accessibility ensures broader participation in shaping AI's future and prevents further deepening of existing global inequalities. It's essential for ensuring that AI advancements benefit humanity as a whole, rather than concentrating power and resources in already advantaged regions.

Large language models simulate the appearance of understanding through pattern recognition, but they lack true comprehension or intent. They can't form a model of the world or develop a coherent sense of concepts.

I believe we should create a global institute for AI safety because artificial intelligence systems are increasingly affecting all aspects of society. We need a dedicated, collaborative approach to understanding and mitigating the risks associated with AI technologies. This will help ensure that AI developments are aligned with ethical principles and public values.