50-ish words you can use to show that you care without incriminating yourself.
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Now they’ve developed a new vocabulary to use when they want to assure the public that they care deeply about developing AI responsibly—but want to make sure they don’t invite too much scrutiny. Here’s an insider’s guide to decoding their language and challenging the assumptions and values baked in.
accountability (n) - The act of holding someone else responsible for the consequences when your AI system fails.
accuracy (n) - Technical correctness. The most important measure of success in evaluating an AI model’s performance. See validation.
adversary (n) - A lone engineer capable of disrupting your powerful revenue-generating AI system. See robustness, security.
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See the full article here: https://www.technologyreview.com/2021/04/13/1022568/big-tech-ai-ethics-guide/