736 citations · 1.8k across the 23 of their papers we have counts for
7 papers · 1 filter
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…
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru +1
Research on fairness, accountability, transparency and ethics of AI-based interventions in society has gained much-needed momentum in recent years. However it lacks an explicit ali…
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese, Nat McAleese, Maja Trębacz +31
We present Sparrow, an information-seeking dialogue agent trained to be more helpful, correct, and harmless compared to prompted language model baselines. We use reinforcement lear…
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…
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh, John Mellor, Jonathan Uesato +9
Large language models produce human-like text that drive a growing number of applications. However, recent literature and, increasingly, real world observations, have demonstrated…
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai +77
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.…