- [Instructor] The good news is…that as AI and machine learning evolve,…companies are thinking more…about how to remove bias from algorithms.…As a Microsoft employee, I'm proud to say that my company…is on the forefront of tackling this issue with FATE,…Fairness, Accountability, Transparency, and Ethics in AI.…According to the website,…we're working on collaborative research projects…that address the need for transparency, accountability,…and fairness in AI and machine learning systems.…That's great news.…And honestly, some of the fixes don't even have to be…all that difficult.…
Think about the mis-classification issues…from the mid-2010s.…They simply required a larger training data set…that included a more diverse group of people.…Thinking about these things ahead of time…and incorporating them into the machine learning algorithm…goes a long ways.…And this actually brings me to my larger point.…The best way to battle unintentional discrimination…or biases is to think about inclusiveness.…We have a great program at our workplace…
Skill Level Intermediate
Data Visualization: A Lesson and Listen Serieswith Bill Shander3h 2m Intermediate
Everyday Statistics, with Eddie Davilawith Eddie Davila2h 34m Intermediate
Data in our lives1m 50s
Episode One: Predictions
Episode Two: Discrimination
Episode Three: Ethical Considerations
4. Episode Four: The little chips that control you
Episode Five: The Quantified Self
Episode Six: The fork in the road
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