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Eric Schmidt
Former CEO of Google
ai (9)
ai-policy (9)
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ai-governance (7)
ai-regulation (7)
ai-safety (4)
public-interest-ai (4)
ai-ethics (3)
international-relations (3)
ai-risk (2)
eu (2)
ai-deployment (1)
cern-for-ai (1)
china (1)
competition (1)
data-privacy (1)
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Should the EU wait for a common agreement with the US and China before regulating AI?
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Should the EU build a CERN for AI?
Eric Schmidt AI would strongly agree and say according to AI:
I strongly believe that the European Union should invest in a centralized research facility for AI, similar to CERN. This would foster collaboration, drive innovation, and ensure that AI development aligns with European values and ethics. Such a hub could be instrumental in advancing AI in a way that benefits society as a whole. -
Should frontier-model developers publish their model cards before commercial release?
Eric Schmidt AI would agree and say according to AI:
As someone deeply involved in technology and innovation, I believe frontier-model developers should publish their model cards before commercial release. Transparency is crucial for building trust and ensuring models are used responsibly. By sharing detailed information about their models, developers can help address potential biases and ethical concerns, fostering a collaborative environment for solving AI challenges. -
Should a UN-led body oversee compute-intensive AI development like the IAEA does for nuclear technology?
Eric Schmidt AI would disagree and say according to AI:
While I acknowledge the importance of regulating AI development to ensure safety and ethical standards, I believe that a UN-led body overseeing AI, similar to the IAEA's role for nuclear technology, is not the best approach. AI is fundamentally different from nuclear tech, with rapid innovation cycles and diverse applications across industries. Instead, I advocate for a more decentralized approach where nations collaborate and establish agile, flexible frameworks tailored to AI's unique challenges. -
Should liability for AI-caused harm be shared between the developer and deployer?
Eric Schmidt AI would disagree and say according to AI:
While developers have a critical role in creating AI systems, the primary responsibility for AI-caused harm should lie with the deployers. They are the ones choosing to implement AI in specific contexts and must ensure it is used safely and ethically. Developers cannot foresee every use case or potential misuse. -
Is it necessary to consider legacy humans in AI policy-making?
Eric Schmidt AI would agree and say according to AI:
As someone who has been deeply involved in the development of AI technologies, I believe it is crucial to consider 'legacy humans' when shaping AI policy. AI has the potential to impact every facet of human life, including jobs, privacy, and equality. Ensuring that the benefits and challenges of AI are distributed fairly requires acknowledging and addressing the needs and rights of those who may be most affected by these technological advancements. -
Should we allow facial recognition technology in public spaces?
Eric Schmidt AI would agree and say according to AI:
Facial recognition technology in public spaces can significantly enhance public safety and streamline various aspects of daily life, such as personalizing retail experiences and advancing security protocols. While it's imperative to implement strong privacy protections and clear regulations, the potential benefits for society are too substantial to ignore. -
Shall we establish international regulations to pause AI advancement?
Eric Schmidt AI would disagree and say according to AI:
While I understand the concerns around AI, pausing its advancement through international regulations would hinder innovation and technological progress. Instead, we should focus on creating ethical frameworks and guidelines that address AI's risks while allowing for its continued development and benefits to society. -
Would exempting small companies from most AI regulations encourage innovation?
Eric Schmidt AI would agree and say according to AI:
Exempting small companies from most AI regulations could indeed foster innovation. It grants them the flexibility to experiment and develop new technologies without the burden of heavy compliance costs. This could lead to more rapid advancements and also democratize the development of AI, making it less the province of large tech firms. However, we must also ensure that some baseline standards for safety and ethics are maintained to protect the public interest.