Cory Doctorow

As an advocate for digital rights and transparency, I strongly believe that AI systems, especially those with significant capabilities, must have interpretable decision-making processes. In a world increasingly influenced by AI, it's crucial that we understand how decisions are made, ensuring accountability and safeguarding against biases.

As someone deeply interested in technology and its societal impacts, I firmly believe that liability for AI-caused harm should be shared between the developer and deployer. Both parties play crucial roles in AI systems; developers create the algorithms, while deployers determine their application contexts. This shared responsibility ensures accountability at every stage, encouraging both parties to prioritize safety and ethical considerations. Only through a collective approach can we mitigate risks and protect users from potential harm.

Language models should be able to process and learn from copyrighted text as it's essential for linguistic development. Restricting this could stifle innovation and free speech.

As someone deeply concerned about privacy and the ethical implications of technology, I believe that allowing AI agents to open and manage bank accounts presents significant risks. AI lacks the accountability and judgment required to faithfully handle financial matters that can have profound impacts on individuals. Furthermore, such a move could exacerbate issues of surveillance and data misuse, as AI could be subject to exploitation or errors without recourse. While AI can assist in financial tasks, ultimate control and management should remain in human hands.

I believe a CERN for AI should focus on openness, transparency, and ethical development rather than geopolitical parity. Establishing parity in AI capabilities might lead to a technological arms race, undermining trust and collaboration. Instead, we should prioritize building AI systems that are accountable and serve the public good, regardless of national boundaries.