51 citations · 58 across the 6 of their papers we have counts for
6 papers
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
Lize Alberts, Benjamin Ellis, Andrei Lupu +1
We introduce a multi-turn benchmark for evaluating personalised alignment in LLM-based AI assistants, focusing on their ability to handle user-provided safety-critical contexts. Ou…
The Ethics of Advanced AI Assistants
Iason Gabriel, Arianna Manzini, Geoff Keeling +54
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural langu…
Designing for Sustained Motivation: A Review of Self-Determination Theory in Behaviour Change Technologies
Lize Alberts, Ulrik Lyngs, Kai Lukoff
Recent years have seen a surge in applications and technologies aimed at motivating users to achieve personal goals and improve their wellbeing. However, these often fail to promot…
Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respect
Lize Alberts, Geoff Keeling, Amanda McCroskery
With the growing popularity of conversational agents based on large language models (LLMs), we need to ensure their behaviour is ethical and appropriate. Work in this area largely…
Computers as Bad Social Actors: Dark Patterns and Anti-Patterns in Interfaces that Act Socially
Lize Alberts, Ulrik Lyngs, Max Van Kleek
Technologies increasingly mimic human-like social behaviours. Beyond prototypical conversational agents like chatbots, this also applies to basic automated systems like app notific…
Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence
Lize Alberts
Recent hype surrounding the increasing sophistication of language processing models has renewed optimism regarding machines achieving a human-like command of natural language. Rese…