With examples like this still occurring in commercial products in 2018, we have so much more work to do before we have to worry about "going too far" in addressing bias: https://t.co/rvajpcJOh9
— Rachel Thomas (@math_rachel) October 19, 2018
With examples like this still occurring in commercial products in 2018, we have so much more work to do before we have to worry about "going too far" in addressing bias: https://t.co/rvajpcJOh9
— Rachel Thomas (@math_rachel) October 19, 2018
This guy was also concerned that being "over-sensitive" was causing people to see bias everywhere.
— Rachel Thomas (@math_rachel) October 20, 2018
The other possibility is that the reason we see bias in so many places is because bias exists in so many places. (This has been thoroughly documented & researched.) https://t.co/tcU4H8hrLE
It's like asking "Have we gone too far in trying to remove bugs from our code?"
— Thomas G. Dietterich (@tdietterich) October 20, 2018