HCOMP Workshop

This all-day workshop (on 5 July 2018 in conjunction with the HCOMP conference in Zürich Switzerland) has the aim of promoting research convergence among participants on topics related to future forms of work (i.e., humans doing their jobs) with intelligent machines. We define intelligent machines as computing technologies characterized by autonomy, the ability to learn, and the ability to interact with other systems and with humans: robots and algorithms interacting with people.

Round table on The Future of Work: Intelligent Machines, Automation, and Societal Impacts

There was a webcast round table on The Future of Work: Intelligent Machines, Automation, and Societal Impacts. A video of the webcast can be found .

Registration is now open for the Convergence Conference

Registration is now open for the , to be held 18-19 May 2018 in East Lansing, MI. You can register . It is still possible to submit posters and to request student travel funding; details are on the registration page.

Work in the Age of Intelligent Machines: Towards Disciplinary Convergence, Academy of Management PDW

This professional development workshop (PDW) at the Academy of Management Annual Meeting aims to promote disciplinary convergence among its participants in relation to work in the age of intelligent machines.

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Pre-ECIS Workshop: New Technologies, Organizations and Work

Rapid developments in new technologies such as artificial intelligence, robotics and autonomous systems are having profound impacts on organisations and workers (Brynjolfsson & McAfee, 2016; Ford, 2015). These impacts may occur at the work-practice, organizational and supra- organizational levels (Günther, Mehrizi, Huysman, & Feldberg, 2017) and have contrasting outcomes for different stakeholders.

Pre-ECIS Workshop: The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence

There will be a workshop in Portsmouth, UK, on 25 June 2018, immediately before the European Conference on Information Systems, on the topic of The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence. Papers for the workshop are due by 30 April 2018.

Report from the Group 2018 Workshop

The WAIM RCN held its first interdisciplinary workshop on January 7, 2018 at the biannual ACM International Conference on Supporting Group Work (GROUP), which was held at the Sundial Beach Resort on Sanibel Island in Florida. The full-day workshop was facilitated by RCN Co-PI Ingrid Erickson along with her Syracuse University colleague, Carsten Østerlund, and University of Michigan colleague, Lionel Robert.

Convergence Conference: Autonomous vehicles in society: Building a research agenda

Autonomous vehicles are coming. History shows that revolutionary change in transportation systems can have far reaching social, economic, legal and ethical implications. Plan to join us for a conference and discussion of this important topic. Registration is free and there is support for student travel.

Keynote address at the Workshop on the Changing Nature of Work

Keynote address "Job Design in the Age of Machines that Learn" by Jeff Nickerson, Professor and Associate Dean of Research, Stevens Institute of Technology, at the : Transforming Work with Digital Innovation, sponsored by the International Federation for Information Processing (IFIP) Technical Committee 9 Working Group 9.1 (IFIP 9.1 ICT and Work).

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Recent tweets

  • New Scientist: Mind meld: Artificial intelligence is improving the way humans think: https://t.co/UtcKaW5Ku0 8 months 1 day ago
  • From Nautilus: Why Futurism Has a Cultural Blindspot: We predicted cell phones, but not women in the workplace: https://t.co/mOBnnOKID3 8 months 1 day ago
  • Related from the BBC: DeepMind AI achieves Grandmaster status at Starcraft 2: https://t.co/63LbxltFRy 8 months 1 week ago
  • From the Independent: Artificial intelligence conquers StarCraft II in ‘unimaginably unusual’ AI breakthrough: https://t.co/YpLhMh4p0x 8 months 1 week ago
  • From Nature: Three pitfalls to avoid in machine learning: https://t.co/il3vU96UOY 8 months 1 week ago
  • From NYT: Would You Want a Computer to Judge Your Risk of H.I.V. Infection? https://t.co/X4YifDApHa 8 months 3 weeks ago
  • From Vox: An AI learned to play hide-and-seek. The strategies it came up with on its own were astounding: https://t.co/r7ncCE5ZpF 8 months 3 weeks ago
  • From Nature: Why deep-learning AIs are so easy to fool: https://t.co/UTwhH6kBUD 8 months 3 weeks ago
  • From the New Yorker: The Hidden Costs of Automated Thinking: https://t.co/qB22CvHzbp 8 months 3 weeks ago
  • From SIOP: Enhancing Judgment: The Case for Human–Algorithm Collaboration by Jon C. Willford, Edison Electric Insti… https://t.co/K9jT7EzsEd 9 months 1 week ago

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