Ethics and Explainability
Adrià and Demetrios discuss the importance of adding ethics and explainability to AI products and machine learning education. They explore topics such as biased AI, privacy, and values. They also consider the need for more industry-specific education in domains like healthcare and finance.In this clip
From this podcast
MLOps.community
ProductizeML: Assisting Your Team to Better Build ML Products // Adrià Romero // MLOps Meetup #47
Related Questions
Are there biases in AI as discussed in the episode Richard Socher — The Challenges of Making ML Work in the Real World and the clip Addressing AI Bias
Are there biases in AI as discussed in the episode Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems | Lex Fridman Podcast #66 and the clip Algorithmic Bias in Healthcare?