Discoverability Challenges
Christian and Kyle discuss the challenges of discoverability in personalized systems, using examples from television and recommendation algorithms. They explore how the process of recommendation has become opaque, making it difficult to identify and address issues like representation and missing news stories.In this clip
From this podcast
Data Skeptic
Auditing Algorithms
Related Questions
Are hiring algorithms biased?
Are hiring algorithms biased as discussed in the episode Algorithmic Fairness and the clip Unintentional Algorithmic Bias?
Are there biases in AI as discussed in the episode The Surprising Ways Algorithms Steer Your Life & How to Make Your Ideas Stick and the clip Algorithmic Bias Debate?