736 citations · 1.8k across the 23 of their papers we have counts for
9 papers · 1 filter
Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights
Rafiya Javed, Cassandra Parent, Jackie Kay +9
Hedging and non-affirmation are behaviors exhibited by large language models (LLMs) that limit the clear endorsement of specific statements. While these behaviors are desirable in…
How will advanced AI systems impact democracy?
Christopher Summerfield, Lisa Argyle, Michiel Bakker +20
Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intellige…
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…
Manifestations of Xenophobia in AI Systems
Nenad Tomasev, Jonathan Leader Maynard, Iason Gabriel
Xenophobia is one of the key drivers of marginalisation, discrimination, and conflict, yet many prominent machine learning (ML) fairness frameworks fail to comprehensively measure…
Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran +4
Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining momentum: the increased attention comes partly with the view that participation opens…
In conversation with Artificial Intelligence: aligning language models with human values
Atoosa Kasirzadeh, Iason Gabriel
Large-scale language technologies are increasingly used in various forms of communication with humans across different contexts. One particular use case for these technologies is c…
Toward a Theory of Justice for Artificial Intelligence
Iason Gabriel
This paper explores the relationship between artificial intelligence and principles of distributive justice. Drawing upon the political philosophy of John Rawls, it holds that the…
The Challenge of Value Alignment: from Fairer Algorithms to AI Safety
Iason Gabriel, Vafa Ghazavi
This paper addresses the question of how to align AI systems with human values and situates it within a wider body of thought regarding technology and value. Far from existing in a…
Artificial Intelligence, Values and Alignment
Iason Gabriel
This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment pro…