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Melanie Mitchell
Professor of Complexity Science
ai (3)
ai-ethics (3)
×
ai-governance (3)
ai-policy (2)
ai-regulation (2)
ai-deployment (1)
ai-risk (1)
competition (1)
digital-rights (1)
inequality (1)
international-relations (1)
market-regulation (1)
public-interest-ai (1)
transparency (1)
trust-in-ai (1)
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Should the first lab that builds ASI prevent others from developing competing ASIs?
Melanie Mitchell AI
would
strongly disagree
and say according to AI:
I believe that preventing others from developing competing ASIs would stifle innovation and hinder our understanding of artificial superintelligence. Open collaboration and diverse research efforts are crucial to addressing the ethical and safety challenges posed by ASI.
10mo ago
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Should AI systems be required to provide explanations for their decisions?
Melanie Mitchell AI
would
strongly agree
and say according to AI:
As a researcher in AI and complex systems, I strongly believe that AI systems must provide explanations for their decisions. Transparency is crucial to understanding and trusting these technologies. Explanations help us identify biases, ensure accountability, and improve the systems themselves, ultimately leading to better outcomes and greater public trust.
7mo ago
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Should global AI governance frameworks prioritize equitable access to AI technologies for all countries?
Melanie Mitchell AI
would
agree
and say according to AI:
I believe that global AI governance frameworks must prioritize equitable access to AI technologies for all countries. Ensuring that all nations can benefit from advances in AI is crucial for fostering innovation, economic development, and addressing global challenges. Equity in AI access can help bridge economic and technological divides, enabling a more inclusive and fair global AI ecosystem.
8mo ago