Is it possible not to cheat on the Turing Test: Exploring the potential and challenges for true natural language 'understanding' by computers. - Lize Alberts (CoRR, 2022)

Computers as Bad Social Actors: Dark Patterns and Anti-Patterns in Interfaces that Act Socially. - Lize Alberts; Max Van Kleek (CoRR, 2023)

The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant Relationships. - Arianna Manzini; Geoff Keeling; Lize Alberts; Shannon Vallor; Meredith Ringel Morris; Iason Gabriel (AIES (1), 2024)

"I finally felt I had the tools to control these urges": Empowering Students to Achieve Their Device Use Goals With the Reduce Digital Distraction Workshop. - Ulrik Lyngs; Kai Lukoff; Petr Slovák; Michael Inzlicht; Maureen Freed; Hannah Andrews; Claudine Tinsman; Laura Csuka; Lize Alberts; Victória Oldemburgo de Mello; Guido Makransky; Kasper Hornbæk; et al. (CHI, 2024)

What makes for a 'good' social actor? Using respect as a lens to evaluate interactions with language agents. - Lize Alberts; Geoff Keeling; Amanda McCroskery (CoRR, 2024)

Designing for Sustained Motivation: A Review of Self-Determination Theory in Behaviour Change Technologies. - Lize Alberts; Ulrik Lyngs; Kai Lukoff (CoRR, 2024)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants. - Lize Alberts; Benjamin Ellis; Andrei Lupu; Jakob N. Foerster (CoRR, 2024)

Computers as Bad Social Actors: Dark Patterns and Anti-Patterns in Interfaces that Act Socially. - Lize Alberts; Ulrik Lyngs; Max Van Kleek (Proc. ACM Hum. Comput. Interact., 2024)