What policies are there for redress of these data mistakes? Privacy laws should cover these issues right? Or is it up to the individual?
What is “HBR”?
Harvard Business Review
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Is there a particular process for the data being ingested into the feedback loop or a good sense of when should we be retraining the models and try to get the old data removed?
How do tech companies adhere to an eithical standard when it comes to developing machine learning software products? Isn’t it sort of the ‘wild west’ in terms of all the developing capabilities?
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If folks are interested in additional AI Ethics resources or want to post some, here is an old thread that’s accessible to the entire community:
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Should AI be regulated?
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GDPR and XAI I guess are trying to do so
How can we protect for technology missuses? What kind of resources do people have available?
Will discuss later.
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Should cars be regulated? Should planes be regulated? 
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Are there any materials that we can use to do self study + will the slides be shared? Thanks! (Or is it all included in the fastbook? Apologies if I missed it!)
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I have found Ethical Institute to be useful to think about ethics principles in a practical way and use their frameworks/tools to keep a check
Regulating complex things tends to create a false sense of security.
Airplanes and cars are complex, but move slow enough in development to where I guess it works… but look at the SEC and Wall Street for an example of where fast moving, less tangible things get to be less easy to regulate.
How do we penalise AI models to make them ethically correct?
It’s chapter 3.
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Some companies are starting to explain their approach on AI ethics and share publicly: i.e. https://www.microsoft.com/en-us/ai/responsible-ai , https://ai.google/principles/
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