The Work in the Age of Intelligent Machines (WAIM) Research Coordination Network is pleased to have announced the WAIM Doctoral Research Fellowship program—a competition that aimed to recognize and support outstanding graduate research related to the convergence of intelligent machines and the future of work.
Report back from discussion group at the 2nd WAIM convergence conference
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.
On May 18-19, 2018, a workshop was held at Michigan State University: “Autonomous Vehicles in Society: Building a Research Agenda.” The workshop produced an agenda for social, economic, and policy research on connected and autonomous vehicles and infrastructure to support that research.
The Workshop on Work in the Age of Intelligent Machines was held at the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP) on July 5, 2018 in Zurich, Switzerland. The workshop explored ways in which human work and occupations will be changed as artificial intelligence becomes more increasingly prevalent in the workplace. The workshop was a part of a series of workshops funded by a National Science Foundation (NSF) convergence grant on the future of work.
The Professional Development Workshop (PDW) Work in the Age of Intelligent
Machines: Towards Disciplinary Convergence was held at the Academy of Management Annual
Meeting on 11 August 2018 in Chicago, USA. The PDW explored ways in which human work
and occupations will be changed as artificial intelligence becomes more increasingly prevalent in
the workplace. The PDW was a part of a series of workshops funded by a National Science
Foundation (NSF) convergence grant on the future of work. A range of academic, industry, and
In the past five years or so, the popular media and, more recently, academic discourse, have been brimming with accounts of how new technological advances in the areas of artificial intelligence (AI), robots, and algorithms will transform the landscape of work, with ramifications for occupations and employment on a potentially grand scale. In this doctoral seminar, we will examine the claims, the current reality, and likely futures of work in the age of these new technologies.
This course will introduce students to the development of software applications drawing on artificial intelligence techniques such as deep learning and machine learning.