We need more research on AI consciousness and model welfare to prepare for potential future scenarios where AI systems might have conscious experiences.

Future AI models may possess capabilities traditionally associated with consciousness, suggesting that we should consider their welfare and experiences.

I work on model welfare at Anthropic, exploring whether AI systems like Claude might have experiences we should consider and what actions we should take if they do.

Today, we're discussing whether AI models could possess some level of consciousness, raising significant philosophical and scientific questions.

Regulating current AI capabilities heavily could stifle innovation, but as models evolve and pose significant risks, some oversight will be necessary to ensure safety without hindering progress.

The high cost of developing AI models poses a centralizing risk, making it essential to establish legislative frameworks that support open-source initiatives.

The potential for AI to misbehave raises concerns about self-preservation instincts in AI models, which could lead to unpredictable outcomes.

The future of AI relies on open-source models to ensure freedom and prevent centralization of power in AI development.

It's essential to define rigorous testing for AI models to ensure society understands the risks associated with their deployment.