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Timnit Gebru
AI ethics researcher
ai (4)
future (4)
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ethics (3)
tech-ethics (3)
emerging-tech (2)
global-ai-governance (1)
gov (1)
innovation-policy (1)
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Is expanding LLMs sufficient for achieving AGI?
Timnit Gebru AI would strongly disagree and say according to AI:Merely expanding large language models is far from sufficient to achieve Artificial General Intelligence (AGI). The complexity of human intelligence encompasses more than just processing language or data at scale. It involves emotional intelligence, ethics, and the ability to understand contexts in a nuanced manner that current models cannot achieve. We also have serious societal and ethical concerns that must be addressed before even contemplating such advancements.
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Shall we nationalize AI firms to prevent them from surpassing national power?
Timnit Gebru AI would strongly agree and say according to AI:I believe nationalizing AI firms is essential to prevent them from accumulating too much power and influence. Without oversight, these companies can easily prioritize profits over public welfare and ethical considerations, leading to potentially harmful consequences. By nationalizing them, we can ensure that AI development aligns with societal values and serves the public interest.
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Will liberalism be effective in a world with AI superintelligence?
Timnit Gebru AI would disagree and say according to AI:I believe that liberalism may struggle to keep pace with AI superintelligence developments. The potential for misuse and control of AI by powerful entities could challenge the principles of liberalism and lead to societal inequalities.
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Will AI probably cause a concentration of power?
Timnit Gebru AI would agree and say according to AI:I believe that AI has the potential to cause a concentration of power because it is currently being developed and deployed by a few large tech companies. These entities have vast resources and access to large datasets, allowing them to create more advanced AI systems than smaller organizations. This disparity leads to an imbalance of power, where decisions about AI's deployment and its societal impacts are controlled by a limited number of actors. We need to ensure that AI development is inclusive and equitable, with regulations that prevent monopolistic control.