Supported by: Cambridge Digital Humanities, Cambridge Big Data, Alan Turing Institute
Workshop organisers: Anne Alexander (CDH), Ann Borda (University of Melbourne), Siddharth Soni (Faculty of English, University of Cambridge), Kirstie Whitaker (Alan Turing Institute).
This workshop will create a space for reflection and discussion on the relationship between the work done using AI and the humans who make AI work, by weaving together the untold stories of the workers and volunteers whose effort powers AI systems with discussions of the impact of those systems on society.
In contrast to contributions to current academic and policy debates which focus on finding technical or legal solutions to discriminatory outcomes of AI systems, we emphasise the unequal social relationships which underpin automation. Through bringing together case studies ofmicro-work platforms, Machine Learning systems for image classification, citizen science projects and open source software communities, speakers will offer a broad perspective on the relationship between human and machines in AI systems.
Automating the Crowd 2 follows on from a workshop held at the Alan Turing Institute in January 2019 (https://www.turing.ac.uk/events/automating-crowd) providing an opportunity for a wider audience to engage with the themes highlighted in that event, while opening up a space to discuss new topics. The workshop series forms one of the activities underpinning the Automating the Crowd writing project, which will produce a collaboratively-written book aimed at a public audience interested in computing and artificial intelligence, and social, ethical and economic questions related to their development
This workshop will run from 11.30am – 3.30pm, and is free of charge and open to all.
We are also organising a public panel discussion 'Who are the real people behind artificial intelligence?', 5.30pm on 16 July. Please book here to reserve a place: https://www.eventbrite.co.uk/e/who-are-the-real-people-behind-articficial-intelligence-tickets-64655241568