3 papers
cs.AI2026
Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee Listening
Thilo Tamme, Anton Hantel, Bijan Khosrawi-Rad
Organizations increasingly route employee feedback to leaders through large language model (LLM) summaries, an unaudited layer that silences already-spoken voice. We introduce a Vo…
cs.AI2026
Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational Listening
Thilo Tamme, Michael Saatkamp, Alma Bonte +3
Organizations started listening to employees through conversational AI agents alongside structured surveys. Little is known about what these channels change in what employees say w…
cs.AI2026
Persona and Persuasive Framing in AI Voice Agents: A Field Experiment with Children
Thilo Tamme, David Steck, Anton Hantel
Conversational agents increasingly interact with children, yet evidence on how their design shapes children's susceptibility to persuasion comes almost entirely from the lab. We re…