Looking for PhD students

I am looking for PhD students interested in working on research about the future of work with intelligent machines, as well as the work on the Gravity Spy citizen science project. Please email if you're interested and want to talk more.

Artificial intelligence and the world of work, a co-constitutive relationship

Check out this new JASIS&T paper based on the 2019 iConference workshop: . Thanks (and congrats) to Carsten, Mohammad, Matt, Karen and Christine!

Call for participation: Virtual paper development workshops for papers on work in the age of intelligent machines

Our main activity over the past few years has been organizing workshops and an annual conference, but both are on hold due to the ongoing COVID crises. Indeed, with everything that’s going on, research may currently be lower-priority or even on pause for many people. Yet, as a research coordination network, we’d like to provide a small means of social support that may spur you on even in these challenging times. To this end, we are organizing a series of mini paper-development workshops, to be held virtually throughout the summer and perhaps beyond.

Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.

WAIM Convergence Conference 2020 postponed

In light of the ongoing COVID-19 crisis, we have decided to postpone the 3rd annual WAIM Convergence Conference to northern hemisphere fall 2020. A new date and participation information will be posted soon.

CSCW Workshop: Better supporting workers in ML workplaces

This workshop is aimed at bringing together a multidisciplinary group to discuss Machine Learning and its application in the workplace as a practical, everyday work matter. It’s our hope this is a step toward helping us design better technology and user experiences to support the accomplishment of that work, while paying attention to workplace context. Despite advancement and investment in ML business applications, understanding workers in these work contexts have received little attention.

Situating “explainability”: Making sense of data-driven assemblages in organizational context

Type: Presentation
Author: Christine T. Wolf
Year of Publishing: 2019

The rise of data-driven technologies in recent years has sparked renewed attention to questions of technological sensemaking and in particular the explainability or interpretability of such systems (a growing technical subfield commonly called “Explainable AI” or “XAI”). These approaches tend to focus on the technology itself (often at the level of model or predictive output) and fail to consider the broader context of use and the situated nature of technological sensemaking.


Recent Mastodon posts

Follow us at @waimrcn@masto.ai


Recent tweets

We were on Twitter but are moving to Mastodon

  • From the National Academies: _Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discove… https://t.co/UZ0gRdS5Ev 7 months 4 weeks ago
  • From the South China Morning Post: Chinese scientist Yan Ning denies AI took her job in US and forced her back home: https://t.co/VtYqaPzuqE 7 months 4 weeks ago
  • From Futurism: CNET’s AI Journalist Appears to Have Committed Extensive Plagiarism: https://t.co/GOI6pxUIwK 8 months 4 days ago
  • From the Washington Post: A news site used AI to write articles. It was a journalistic disaster: https://t.co/L1bdDzmfGA 8 months 1 week ago
  • Relatedly, from IFL Science: CNET Has Been Using AI To Write Articles For Months, And No One Realized: https://t.co/BT7kijV5kd 8 months 2 weeks ago
  • From Nieman Labs: The AI Content Flood: https://t.co/DUstqswl8z 8 months 2 weeks ago
  • From Startup Daily: An expert explains why the AI-driven writing skills of OpenAi’s new ChatGPT chatbot are so impr… https://t.co/w32UmblnCp 8 months 2 weeks ago
  • From ZDNet: OpenAI’s ChatGPT is scary good at my job, but it can’t replace me (yet): https://t.co/n39zRbXnZz 8 months 2 weeks ago
  • From Stanford HCAI: Stanford CRFM Introduces PubMedGPT 2.7B: https://t.co/m8GT9V55GW 8 months 2 weeks ago
  • homework helper out there! 8 months 3 weeks ago