Rob Procter
- Professor, Social Informatics and Deputy Head of Department, University of Warwick
England
As seen in:
MSN UK,
Nature,
The Guardian,
Yahoo Canada,
arXiv,
The Conversation,
Tech Xplore,
Jisc,
1News,
Inkl
Interdisciplinary researcher; Warwick University and Alan Turing Institute. Any views expressed are my own.
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Articles by Rob Procter
AI could help air traffic controllers keep planes flying safely
Global air travel is predicted to more than double by 2050, threatening to exceed the capacity of air traffic control officers (atcos) to oversee our skies safely. By Rob Procter for The Conversation One solution would be to recruit more controllers – but that’s not as easy as it sounds. Airspace in the UK and elsewhere is broken up into geographically and altitude-bounded sectors – with each sector normally the responsibility of one atco (the tactical controller) at any time.
As the skies get busier, will AI help air traffic controllers keep planes flying safely? Original
Global air travel is predicted to more than double by 2050, threatening to exceed the capacity of air traffic control officers (atcos) to oversee our skies safely. One solution would be to recruit more controllers – but that’s not as easy as it sounds. Airspace in the UK and elsewhere is broken up into geographically and altitude-bounded sectors – with each sector normally the responsibility of one atco (the tactical controller) at any time.
An evaluation of artificial intelligence assisted prostate biopsy reporting in the Articulate Pro study
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Abstract Prospective evidence on clinical utility of AI in histopathology is limited. We conducted a prospective study across three National Health Service specialist centres in England to evaluate a commercially available AI system for assistance in prostate biopsy reporting. Of 1613 cases, 1049 were reported with AI-assistance. Endpoints evaluated diagnostic impact, clinical impact and workflow.
By Lisa Browning, Richard Colling, Jon Oxley, Jacqueline Susan Birks, Nasullah Khalid Alham, Stefano Malacrino, Abhisek Ghosh, Rosalin Cooper, Monica Dolton, Margaret Horton, Juan A Retamero, Andrew Protheroe, Leila Ahmed, Pallavi Vijay Borkar, Pelvender S. Gill, Richard Bryant, Jonathan J Aning, Kieron White, Richard Scheffer, David Snead, Nasir Rajpoot, Kate Madersky Hutton, Rob Procter, Clare L. Verrill, Chuer Zhang, Nahida Banu, Anastasios Chatzitolios, Irini Danial, Samir Al-Hyassat, Bidisa Sinha, Ewart Stanislaus, James Crofts, Davina Hewitt, Clare Dunstan
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Nature
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NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking
To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic. To achieve the aim, we describe the construction of a novel NewsQuote dataset consisting of 24,031 quote-speaker pairs that appeared on a COVID-19 news corpus.
The dangers of machines without human oversight
For artificial intelligence (AI) to work best, it needs to be complemented by human expertise and ethical judgement. We’re currently at a moment of peak expectation with AI, but there’s a real risk that these expectations will be dashed should we subsequently discover that this technology isn’t capable of delivering all that has been promised.
A longitudinal analysis of the public perception of the opportunities and challenges of the Internet of Things
Loading metrics Open Access Peer-reviewed Research Article Arkaitz Zubiaga , Rob Procter, Carsten Maple Arkaitz Zubiaga, Rob Procter, Carsten Maple Published: December 20, 2018 https://doi.org/10.1371/journal.pone.0209472 Figures Abstract The Internet of Things (or IoT), which enables the networked interconnection of everyday objects, is becoming increasingly popular in many aspects of our lives ranging from entertainment to health care.
Query-Driven Topic Model: Paper and Code
Share this with someone who'll enjoy it: Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus. It has been increasingly widely adopted as a tool in the social sciences, including political science, digital humanities and sociological research in general. One desirable property of topic models is to allow users to find topics describing a specific aspect of the corpus.
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
Citation: Zubiaga A, Liakata M, Procter R, Wong Sak Hoi G, Tolmie P (2016) Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads. PLoS ONE 11(3): e0150989. doi:10.1371/journal.pone.0150989 Copyright: © 2016 Zubiaga et al.
Big and broad social data and the sociological imagination: A collaborative response
In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods.
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