AI and Crowd work at CSCW 2019

This year the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing took place at the Hilton Hotel in Austin, Texas. Our laboratory presented our work about the ethical concerns of AI technologies in the public sector. The presentation was part of the Good Systems: Ethical AI for CSCW Workshop. You can find more details about our work on this link.

A few of the other talks included:

“Ethics of AI: Learning from AI Failures”, this talk was given by Saleema Amershi from Microsoft Research who presented guidelines from Human — AI interaction that can be found here.

“The Ethical Operating System Toolkit”, this talk was given by Sam Woolley, UT-Austin who presented a toolkit to anticipate the long-term social impact and unexpected uses of the tech we create today. The toolkit can be found here.

“Participatory Machine Learning”, this talk was given by Fernanda Viégas and Martin Wattenberg from Google AI who presented their work in the PAIR laboratory where technologies for visualization promotes explainability and interpretability of AI techniques. Among the tools presented they demoed FacetsWhat-If, and Tensorflow Playground, as tools that empower teams to understand how the algorithms work.

“The Perpetual Work Life of Crowdworkers: How Tooling Practices Increase Fragmentation in Crowdwork”, this talk was given by Alex C Williams from the University of Waterloo who reported their findings at exploring the tooling practices used by full-time crowdworkers on Amazon Mechanical Turk. The paper can be found here.

Overall, we really enjoyed the conference and felt excited about the advances in crowdsourcing plus AI technologies that will shape the future of work.

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