WAIM Convergence Conference 2020

Please hold the dates 4-6 August 2020 for the 3rd Annual WAIM Convergence Conference, to be held on the campus of Georgia Tech in Atlanta, GA, USA. Travel support will be available for speakers and new researchers. More details and a call for participation will be posted soon.

Artificial Intelligence and Work: AAAI 2019 Fall Symposium

We seek participants for a two and one-half day symposium to be 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 draft symposium schedule and papers are now available (NB. you must be logged in to the website to see the papers).

About the RCN

Members of the WAIM network are developing the understanding needed to jointly design both sides of the human-technology frontier in work settings and using intelligent machines. Join now by clicking .

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

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.

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):

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:

Call for papers: Organization Science special issue on Emerging Technologies and Organizing

Submitted by crowston on Thu, 2019-04-04 09:39

Special Issue Editors
Diane Bailey, Samer Faraj, Pamela Hinds, Georg von Krogh, and Paul Leonardi

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Recent tweets

  • From the New Yorker: Could New Research on A.I. and White-Collar Jobs Finally Bring About a Strong Policy Response? https://t.co/7FoNhFDV8t — 1 month 1 day ago
  • The Awful AI project, “a curated list to track _current_ scary usages of AI”: https://t.co/7ixMqszO6u — 1 month 3 days ago
  • Tech Republic: How IBM is delivering AI-generated highlights at the US Open: https://t.co/a9dyX2kBH7 — 1 month 1 week ago
  • From AP: As robots take over warehousing, workers pushed to adapt: https://t.co/e7sqaLlJma — 1 month 1 week ago
  • From Venture Beat: AI ethics is all about power: https://t.co/F91GWMNm5a — 1 month 1 week ago
  • From the BBC: Robotic inspectors developed to fix wind farms: https://t.co/amWDc8BAWp — 1 month 2 weeks ago
  • And second, Bailey, Diane E., and Stephen R. Barley. “Beyond Design and Use: How Scholars Should Study Intelligent… https://t.co/Q2PAJcm30x — 1 month 2 weeks ago
  • Two papers about the impact of automation on jobs that reach similar conclusions from different methodologies: Firs… https://t.co/2540n946sG — 1 month 2 weeks ago
  • From the NYT: The Week in Tech: A.I.’s Threat to White-Collar Jobs (reporting on the Brooking’s report): https://t.co/lWsC5X7b00 — 1 month 2 weeks ago
  • From The Week: Will you lose your job to a robot? https://t.co/tbObeWGeeX (opposite prediction from previous) — 1 month 3 weeks ago

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