Shawn, thanks for your great comment. I cannot agree more with you on two aspects: 1) the need of diversity over the AI lifecycle; and 2) the self-assessment on whether certain types of technologies should be deployed, given the problem it aims to solve -- sometimes, ethical questions pose important barriers, as the tolerance for false positives you mentioned. Thank you!

My apologies to all the experts who commented on my article. After a couple of weeks on PTO, only now I had the opportunity to read them and reply. Thank you so much for your comments and great inputs.

Thanks for your comments, Gwen!

Thank you, Doug!

Thanks for your comments, Ananda.

Thanks for your comments, Mark. Totally agree with your perspective that the C-suite has an important sponsorship role on algorithmic bias assessments.

Thanks for your comments, Ryan. I particularly liked your suggestion of adding other departments to support on the analysis of this type of problem. Depending on the magnitude and extension of the algorithmic bias, their perspective and input can be very valuable.

Thank you, Shawn. Indeed, not an easy task and the whole matter involving algorithmic bias is still relatively for us. Lots of opportunities there!

Thank you, Mohamed. Agree 100% with you.

Thanks for your comment, Gene. Wondering what those "unanticipated issues" could be. Would you like to share a bit more with us?

Thanks for your comments, Liza.

Thanks for your comment, Camille!

Thanks for your comments, Brandon. Agree: trust and transparency with customers are key when it comes to leverage their data and run profitable businesses.

Thanks for your comments, Brent. I think many people are still on the fence for some reasons, e.g.: price is most of times directly related to purchase power, which leads to privacy and fairness concerns; and lack of transparency of what companies are doing with customers' data - and how that data has been used. Transparency, proper data analytics and ethical AI development/deployment are only some of the factors that will help us to solve this issue.

Great input, Oliver. Regulation is playing and will continue to play an important role on how companies disclose and communicate on their algorithms.