AI Ethics in Action: How We Ensure Fairness, Bias Mitigation, and Explainability

Like many challenges, it began with a user who continued receiving the wrong videos on her feed. It appeared to be a mere glitch in our recommendation system, but as we got deeper into it, we found that there was some concealed bias in our code, and it was just causing unfairness in our setup. It was not only a question of bad user experience, but of equity and credibility.

Since then, AI ethics has no longer been a blank whiteboard discussion but an actual issue we have had to resolve at the moment. It is not difficult to produce AI with a lot of power; however, to create it in a fair, transparent, and trustworthy way is quite a different matter.