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:

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

Workshop report: Developing Skills to Work in the Age of Intelligent Machines (Pre-HICSS workshop)

Submitted by crowston on Sat, 2019-02-09 17:56

A workshop was held 1pm – 4pm, 8 January 2019 in Wailea, HI, before the annual Hawai'i International Conference on System Sciences. It was the 4th workshop to be sponsored by the WAIM RCN. The workshop was organized by Elaine Mosconi, Université de Sherbrooke, Kevin Crowston, Syracuse University and Jeffrey Nickerson, Stevens Institute of Technology. The topic was "Developing Skills to Work in the Age of Intelligent Machines", though the discussion ranged more broadly. There were about 50 attendees.

HSS 408-461: Robots + Work

Submitted by crowston on Thu, 2019-02-07 12:25
Type: Syllabus
Author: Bernadette Long
Year of Publishing: 2018
Keywords:
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Course Description: Humanities senior seminar. Combine current theory with practice to prepare students as socially conscious technology developers. Analyze complex social and technical situations to develop socially appropriate responses through tasks that involve problem analysis, ethical considerations, and technology issues regarding influences on the distribution of jobs and nature of work.

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Recent tweets

  • The Deloitte Review covers work and AI: Reconstructing work: Automation, artificial intelligence, and the essential… https://t.co/50XOaTJwaW — 1 week 4 days ago
  • From the Psychology of Technology Institute: Leadership by Algorithm: An Interview with David De Cremer: https://t.co/Aa45ZMCtcm — 1 week 6 days ago
  • From ZDNet: Algorithms will soon be in charge of hiring and firing. Not everyone thinks this is a good idea: https://t.co/ix4hvRyF19 — 2 weeks 1 day ago
  • See also the NIOSH Future of Work Initiative: https://t.co/xw8oEO49iF — 2 weeks 2 days ago
  • From https://t.co/QS4dBOT00h National Institute for Occupational Safety and Health (NIOSH)>: The Role of Organizati… https://t.co/FtdZpMDhGw — 2 weeks 2 days ago
  • From Entreprenuer: Robots Aren’t Stealing Jobs -- They’re Making Them Better: https://t.co/tEr3evOO2m — 2 weeks 2 days ago
  • From Boston Review: AI’s Future Doesn’t Have to Be Dystopian, by Daron Acemoglu (plus responses): https://t.co/1hhzE2MSz6 — 2 weeks 2 days ago
  • From Axios: How the automation economy can turn human workers into robots: https://t.co/pEo3ifVisq — 3 weeks 3 hours ago
  • From the BBC: What will self-driving trucks mean for truck drivers? https://t.co/Tpyge2UajM — 3 weeks 3 hours ago
  • From VOXEU: Robots and labour in the service sector: https://t.co/wbb2zu5qT6 — 3 weeks 1 day ago

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