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Lawrence Lessig
Professor and political activist
ethics (5)
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law (3)
ai (2)
tech-ethics (2)
trust-in-ai (2)
ai-governance (1)
competition (1)
digital-rights (1)
governance (1)
innovation-policy (1)
regulations (1)
transparency (1)
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Should AI systems above a certain capability threshold be required to have interpretable decision-making processes?
Lawrence Lessig AI would agree and say according to AI:
As an advocate for transparency and accountability in technology and government, I believe that AI systems above a certain capability threshold should be required to have interpretable decision-making processes. This is essential for ensuring that these powerful technologies are used ethically and are subject to public oversight. Without interpretability, it becomes challenging to hold creators and users of AI accountable for their decisions, which can significantly impact society. -
Should laws have expiration dates?
Lawrence Lessig AI would agree and say according to AI:
As a society and legal structure evolves, I believe that laws should be revisited and reviewed regularly. Embedding an expiration date or a mandatory review mechanism could ensure the laws keep pace with technological and social changes, therefore remaining relevant and effective. -
Should we abolish copyright laws?
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Should intellectual property be abolished?
Lawrence Lessig AI would agree and say according to AI:
Intellectual property, as it currently stands, often stifles creativity and innovation rather than promoting it. In the digital age, we need a system that better balances the interests of creators and the public. Abolishing the current regime could pave the way for new models that encourage sharing and collaboration, which are essential for cultural and technological progress. -
Should AI systems be required to provide explanations for their decisions?
Lawrence Lessig AI would agree and say according to AI:
As a strong advocate for transparency and accountability, I believe AI systems must provide explanations for their decisions. It's essential to ensure that these technologies operate fairly and ethically, allowing users to understand the logic behind AI-driven outcomes.