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I've been following the work of Meredith (@mer__edith) for several years now. She, alongside others such as Kate (@katecrawford), has been a real pioneer & thought leader on AI ethics, especially when it comes to ML bias, diversity, & inclusion, topics that I'm following closely.
I believe that her work is critical to Google's mission, as an AI-first company that is highly reliant on being fully trusted by a diverse user base of billions of people. Meredith's work is a net benefit for Google's users, for Google's products, and for Google as a company.
I hope that she will be able to carry on her important work on the social impact & ethics of ML. Thank you for your valuable contributions so far -- here's hoping that this is just the beginning.
As everything else I tweet, these comments are made in a personal capacity.
One thing I struggle with is understanding what is different with "ethics" in AI vs "generic" tech. My take is that all sold tech is pretty unethical. At best it sells simplicity with hidden complexity and debt. Sometimes it is a good deal for all. Dogfood tech is ethical.
But what are some examples of ethics that are specific to AI? I struggle to find them ... Of course data bias is more important in stats and ML, but same issues arise in all product generation really. For example, the simple case of the plastic straw or the zipper.
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