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

Submitted by crowston on Fri, 2020-07-03 11:48

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

Submitted by crowston on Mon, 2020-03-30 08:23

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.

The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning

Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719

Factors Influencing Approval of Wikipedia Bots

Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018

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

Submitted by chris-wolf on Mon, 2019-08-19 08:21
Type: Presentation
Author: Christine T. Wolf
Year of Publishing: 2019
Keywords:
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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.

WAIM Convergence Conference: At the Boundary: Exploring Human-AI Futures in Context

The 2nd WAIM Convergence Conference on the theme At the Boundary: Exploring Human-AI Futures in Context was held 14-15 August 2019 at Syracuse University's on the upper east side of Manhattan. Some key documents (note that you must be logged in to the site to view some of these):

Artificial Intelligence and Work: AAAI 2019 Fall Symposium

A two and one-half day symposium was held 7–9 November 2019 in Washington, DC, USA, to discuss and plan how AI researchers will contribute to research on human work with artificial intelligence. The symposium schedule and papers are available (NB. you must be logged in to the website to see the papers).

Work in the Age of Intelligent Machines: Key Dilemmas for the Information Community

The workshop is over, but you can read the call below and see the notes from the workshop on Google Docs here:

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Recent tweets

  • From the Wall Street Journal: Is It Time to Regulate AI? https://t.co/5MDLhpApBD — 3 weeks 6 days ago
  • From https://t.co/b9FbITpIwl>: The Perils of Using Quotations to Authenticate NLG Content: https://t.co/8CtUTBAtiN — 1 month 14 hours ago
  • From the New York Times: A.I. Is Mastering Language. Should We Trust What It Says? https://t.co/L8L0ZgsYB0 — 1 month 1 day ago
  • From Reuters: AI is explaining itself to humans. And it’s paying off: https://t.co/pSWyagHKku — 1 month 2 days ago
  • From the Wall Street Journal: How AI and Humans Can Best Collaborate at Work: https://t.co/B8Yip9KShI — 1 month 3 days ago
  • From Wall Street Journal: Mayo Clinic Assessing Google AI Tool as It Seeks More Insights From Patient Records: https://t.co/8duzJDPRz0> — 1 month 1 week ago
  • From the Wall Street Journal: Social Media Offers a Trove of Information for Medical Researchers: https://t.co/YOb7k6GyU2> — 1 month 1 week ago
  • From Wall Street Journal: How Hospitals Are Using AI to Save Lives: https://t.co/FaYb5qgqW0 — 1 month 1 week ago
  • From McGill University via SciTechDaily: Artificial Intelligence Tutoring Outperforms Expert Instructors in Brain S… https://t.co/VWLHnBoCj7 — 1 month 1 week ago
  • From Engadget: Pentagon believes its precognitive AI can predict events ‘days in advance’: https://t.co/ZGlevUSjOx — 1 month 2 weeks ago

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