Resources

Converging Design: AI, Jobs, Job Design and Organizations

Type: Presentation
Author: Discussion Group
Year of Publishing: 2019
Keywords:

Report back from discussion group at the 2nd WAIM convergence conference

Situating “explainability”: Making sense of data-driven assemblages in organizational context

Type: Presentation
Author: Christine T. Wolf
Year of Publishing: 2019
Keywords:

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.

Are We Ready For A Life Interdisciplinary

Type: Presentation
Author: Ryan Watkins
Year of Publishing: 2019
Keywords:

Presentation at the 2019 Convergence Conference

HSS 408-461: Robots + Work

Type: Syllabus
Author: Bernadette Long
Year of Publishing: 2018
Keywords:

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.

Connected and Autonomous Vehicles in Society: An Agenda for Social and Policy Research

Type: Report
Author: MSU Workshop on Autonomous Vehicles in Society
Year of Publishing: 2018
Keywords:

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.

HCOMP Workshop Report: Work in the Age of Intelligent Machines

Type: Report
Author: Jeffrey V. Nickerson, Matthew Lease
Year of Publishing: 2018
Keywords:

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.

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

Type: Report
Author: Kevin Crowston, Mary-Beth Watson-Manheim, Ingrid Erickson, Jeffrey V. Nickerson
Year of Publishing: 2018
Keywords:

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

Work in The Age Of AI, Robots, and Algorithms

Type: Syllabus
Author: Diane Bailey
Year of Publishing: 2018
Keywords: doctoral seminar, syllabus

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.

Comm493: Analytics and Artificial Intelligence for Business

Type: Syllabus
Author: Tracy Jenkin
Year of Publishing: 2018
Keywords:

This course will introduce students to the development of software applications drawing on artificial intelligence techniques such as deep learning and machine learning.