About this episode

The episode discusses the human factors involved in AI adoption and autonomous operations, featuring insights from recent reports and conference highlights.

Episode Link: https://www.humanfactorscast.media/320 Support the show, and the mission of better science communication in Human Factors: Support this Podcast Join us for episode 320 of Human Factors Cast, recorded live May 15, 2026,. Nick Roome and Barry Kirby share updates including a recap Barry’s EHF conference highlights. They discuss Stanford’s 2026 AI Index and an MIT Tech Review report on agentic AI in software engineering, focusing on rapid adoption, the “jagged frontier” where AI excels on benchmarks yet fails basic tasks, and human factors issues like trust calibration, workload, supervision, permissions, and accountability in human-AI teaming. This Week in Aerospace is back to talk about NASA’s Routine Autonomous Multi-Aircraft Operations (RAM AO) work to enable small teams managing large autonomous fleets, including interventions/exception taxonomies, Monte Carlo modeling to justify safe human-to-vehicle ratios, and the need for industry consensus standards to support future FAA regulation. Support us: Patreon: https://www.patreon.com/humanfactorscast Buy us a coffee: https://www.buymeacoffee.com/hfactorspodcast Merchandise Store…

People in this episode

Hosts: Nick Roome, Barry Kirby

Topics covered

• AI in software engineering
• human factors
• trust calibration
• workload
• supervision
• autonomous operations

Keywords

• AI
• human factors
• autonomous systems
• trust
• workload
• NASA
• software engineering

Mentioned in this episode

Organizations: Stanford, MIT Tech Review, NASA

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