1) Democratization vs. centralization. AI should be a tool in the hand of everyone (like the open Internet and open personal computing), rather than being controlled by a small number of large companies and governments.
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As companies, governments, and individuals increasingly start using AI in more and more products and processes, both to automate current activities and to develop entirely new ones, there are a few fundamental frictions that we will need to navigate: time for a thread
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2) Human augmentation vs. replacement. Organizations should be ambitious in how they use automation, and seek to turn workers into hyper-productive "AI supervisors" (using AI to add value), rather than merely automating the work they used to be doing (using AI for cost-cutting).
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3) Individual empowerment vs. mass manipulation. We should build products and systems that place the end user in control of the algorithms they interact with, rather than using AI to control people's opinions, choices, and lives. This is what I cover here: https://medium.com/@francois.chollet/what-worries-me-about-ai-ed9df072b704 …
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I believe each of these 3 fundamental issues could go either way -- towards a better future or towards dystopia. That's why it is important to have these debates now. And anyone drowning out the conversation by drumming up fears of "existential risk" is doing us all a disservice
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End of conversation
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Senators' questions for Zuckerberg were not exactly encouraging. This conversation needs to happen, before it's too late. Where is the locus for this conversation? Twitter?
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I really enjoy your insights. It would be wonderful if you did a podcast discussing these themes with various AI leaders.
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Democratization of AI needs democratization of data which big companies are sitting on. I think immediate fix is a sci-hub for data were proprietary datasets are shared freely to promote democratization.
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