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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‘AI as a tool’ matters more when life-changing decisions are ‘powered by AI’ (like who get arrested, receive medical treatment first or who get the job). Democratization should start will people knowing what’s going on and having a say about it!
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Will depend on who’s making up the rules for this. Govt/Corps certainly prefer centralization, augments their power. Will the people they control w power stand up against this?
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A tool can be in the hands of everyone, and also controlled by a large company. This is exactly the case of
@TensorFlow and@Google. These are not mutually exclusive. -
Then there's reality. No amount of tools will democratize AI. Most folks just don't care. They want to use AI at most. This SV mentality of "More free tools!" is not the answer to anyone's problems. Even auto ml and "automated training" doesn't solve the consumption problem ;/
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Kiss your pay check goodbye.
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compute time, custom networks, and datasets cost money, do you expect corporations to give away those away too?
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