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A survey and interview study of healthcare professionals examining how job roles and perspectives shape views on algorithmic bias causes, fairness criteria, and bias mitigation in healthcare ML systems, finding significant variation across clinical and administrative roles.
Polestar 与牛津大学合作开展试点研究，通过心率、脑电、视线追踪等生理数据与车载遥测，量化驾驶高性能电动车（Polestar 4）时的驾驶者体验，而非仅仅测量加速与圈速。
A Finnish study of over 2,000 workers found no clear link between frequent AI use and workplace exhaustion, but social comparison was consistently associated with higher exhaustion levels.
This paper evaluates the usability of PGP 5.0, finding that most users couldn't successfully encrypt emails, arguing that security interfaces need specialized design standards.
Classic 1983 paper by Lisanne Bainbridge examining the ironies of automation, arguing that the more advanced the automatic system, the more crucial human intervention becomes, and that removing the operator from direct control can introduce new types of failure.
This paper explores the irony that automation in systems can lead to deskilling of human operators and increased workload, highlighting the need for human-centered design in automated environments.
A hospital staff member reflects on the real-world impact of an AI alert system for sepsis and deterioration, noting that false alarms lead to desensitization and that even good models struggle if not integrated into clinical workflow.
A reflective question on why people still struggle with AI despite its ability to simplify many tasks, inviting perspectives on the psychological and practical barriers to adoption.
An exploration of how reliable automation leads to human complacency and skill decay, using aviation as a case study, and offering deliberate countermeasures.
A developer built a working reporting agent for a client, but it was quietly abandoned because it threatened a team member's status and visibility. The story highlights the overlooked human dynamics in AI automation projects.