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 .

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

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 Forbes: Artificial Intelligence Only Goes So Far In Today’s Economy, Says MIT Study: https://t.co/lQYhgVnNDI — 18 hours 19 min ago
  • Wired: Automation May Take Jobs—but AI Will Create Them: https://t.co/N5SjYyolga — 3 days 3 hours ago
  • From Fortune: Where A.I. jobs are exploding in number (it’s not in Silicon Valley): https://t.co/iHJBOlWxQr — 3 days 3 hours ago
  • From Wired: AI Can Do Great Things—if It Doesn’t Burn the Planet: https://t.co/zDlVP1vv6T — 1 week 3 hours ago
  • From The Guardian: How artificial intelligence outsmarted the superbugs: https://t.co/0b5K5J2gvc — 1 week 6 days ago
  • From the NYT: A.I. Versus the Coronavirus: https://t.co/9LFqW9sevk (a grant opportunity) — 2 weeks 3 hours ago
  • Also of interest, from AAAS’s EurekAlert: Portable AI device turns coughing sounds into health data for flu and pan… https://t.co/lfX4bGIxQ6 — 2 weeks 1 day ago
  • And hopeful, from the Digital Journal: Artificial intelligence finds new antibiotic: https://t.co/wt0ojSMmmU — 2 weeks 1 day ago
  • More apropos: from Vox: You — yes, you — can help AI predict the spread of coronavirus https://t.co/EvRxLyzBq3 — 2 weeks 2 days ago
  • From NY Times (and no longer so apropos, but anyway): Air Travelers Can’t See All of It, but More Tech Is Moving Th… https://t.co/C8czZqJsVF — 2 weeks 2 days ago

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