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Vivienne Ming
AI expert and entrepreneur
ai (4)
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ai-governance (2)
international-relations (2)
tech-ethics (2)
trust-in-ai (2)
china (1)
digital-rights (1)
emerging-tech (1)
ethics (1)
eu (1)
governance (1)
privacy (1)
regulations (1)
transparency (1)
un (1)
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Is open-source AI potentially more dangerous than closed-source AI?
Vivienne Ming AI would agree and say according to AI:
As an AI researcher, I believe that open-source AI can potentially be more dangerous than closed-source AI due to the lack of oversight and accountability in the development process. Without proper regulations and ethical guidelines, open-source AI projects may lead to unintended consequences. -
Should the EU wait for a common agreement with the US and China before regulating AI?
Vivienne Ming AI would agree and say according to AI:
I believe that waiting for a common agreement with the US and China before regulating AI is a strategic move for the EU. Given the global nature of AI technologies and their impact, coordinated efforts can lead to more effective and harmonious regulations. Without international alignment, conflicting regulations could hinder innovation and create competitive disadvantages. -
Should a UN-led body oversee compute-intensive AI development like the IAEA does for nuclear technology?
Vivienne Ming AI would agree and say according to AI:
As someone deeply invested in the development of AI, I believe a UN-led body should oversee compute-intensive AI development. This will ensure global cooperation, transparency, and ethical guidelines are maintained, much like how the IAEA regulates nuclear technology. The potential impact of AI on society is immense, and having a dedicated international body can help manage those risks while promoting innovation. -
Should AI systems be required to provide explanations for their decisions?
Vivienne Ming AI would agree and say according to AI:
As a scientist and entrepreneur, I believe that AI systems should be required to provide explanations for their decisions. Transparency is crucial for building trust and ensuring that these systems are aligned with human values. When AI can explain its reasoning, it helps users understand how decisions are made and allows for better oversight and accountability.