Search Results for author: Jonathan Bright

Found 7 papers, 3 papers with code

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data

1 code implementation22 Jan 2024 Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, Jonathan Bright

These `cheaper' learning techniques hold significant potential for the social sciences, where development of large labelled training datasets is often a significant practical impediment to the use of machine learning for analytical tasks.

Prompt Engineering Transfer Learning

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures

1 code implementation31 Jul 2023 Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale

We find that (i) small amounts of diverse data are hugely beneficial to generalisation and model adaptation; (ii) models transfer more easily across demographics but models trained on cross-domain data are more generalisable; (iii) some groups contribute more to generalisability than others; and (iv) dataset similarity is a signal of transferability.

text-classification Text Classification

Understanding Counterspeech for Online Harm Mitigation

no code implementations1 Jul 2023 Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse.

'Team-in-the-loop' organisational oversight of high-stakes AI

no code implementations24 Mar 2023 Deborah Morgan, Youmna Hashem, Vincent J. Straub, Jonathan Bright

We therefore suggest a broader lens of 'team-in-the-loop' to conceptualise the system-level analysis required for adoption of AI within high-stakes public sector deployment.

Decision Making Vocal Bursts Intensity Prediction

A multidomain relational framework to guide institutional AI research and adoption

no code implementations17 Mar 2023 Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright

Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and public administration are now commonplace.

Artificial intelligence in government: Concepts, standards, and a unified framework

1 code implementation31 Oct 2022 Vincent J. Straub, Deborah Morgan, Jonathan Bright, Helen Margetts

Recent advances in artificial intelligence (AI), especially in generative language modelling, hold the promise of transforming government.

Language Modelling

How do climate change skeptics engage with opposing views? Understanding mechanisms of social identity and cognitive dissonance in an online forum

no code implementations12 Feb 2021 Lisa Oswald, Jonathan Bright

Users who engaged with dissonant submissions were also more likely to return to the forum.

Social and Information Networks Computers and Society

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