The Good Robot is an interview-led technology show built around one deceptively simple problem: what would it mean for technology to be good. Its answer is never quick. Dr. Eleanor Drage and Dr. Kerry McInerney approach AI, mathematics, language, and surveillance as systems shaped by histories, institutions, incentives, and power. The style is spacious and reflective. Guests are allowed to think in full paragraphs, and the hosts often restate the shape of an argument before turning it toward a sharper question. That makes the show unusually hospitable to complex ideas. It can talk about mythology, intelligence, child language acquisition, elections, and biometric databases without flattening them into slogans. A conversation with Dr. Stephen Cave follows the origin myths behind artificial intelligence, asking why the field became attached to particular stories of artificiality and intelligence rather than other names and frames. A conversation with Dr. Maurice Ciodo treats mathematics as a site of responsibility, especially when abstract work becomes part of weapons, political targeting, or high-risk systems. A conversation with Rebecca Woods brings linguistics into the LLM debate, comparing language models with the social and contextual ways children learn meaning. It is a lively episode, but the argument is precise. Words do not float free from use. A conversation with Dr. Matt Mamoudi turns facial recognition into a question of movement, occupation, policing, and infrastructure in Hebron and East Jerusalem. The show is at its strongest when theory meets something physical: a camera, a checkpoint, a voting ad, a classroom exercise, a pronoun that changes meaning depending on who is speaking. Its politics are explicit. Its manner is generous. The Good Robot does not treat feminism as a theme added onto technology coverage; it treats feminist analysis as a way to notice who is exposed, who benefits, who is believed, and who gets to build. The result is careful, critical listening for people who want the social life of technology explained with both intellectual seriousness and human scale.