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MIT CISR 2020 Research Projects

Breaking Down Barriers to Pervasive AI Adoption and Use

Digital Work

AI is high on executives’ agendas. It potentially can generate big value; yet, if not appropriately designed, built, deployed, and nurtured, AI can fall short and, worst case, cause harm. This research will explore how companies can maximize value from AI, and we will focus on understanding emergent AI challenges, such as building algorithmic trust, avoiding decision risk, and developing new roles. Ultimately, we intend to help executives mitigate AI deployment risks and achieve the desired payback from AI investments.

  • What activities and strategies improve chances of AI trust and acceptance by organizational and other key stakeholders?
  • What activities and strategies help companies achieve more pervasive AI deployment and use?

Seeking: Interviews with AI project team members—two people per team (one representing an algorithm expert, and the other representing a business/domain expert).

Contact: Barbara Wixom

 

RESEARCHERS

Barbara H. Wixom, Principal Research Scientist

Barbara’s academic research explores how organizations generate business value from data assets. Barbara enjoys deep expertise in data and analytics techniques and technologies, with particular interest in data and analytics strategy, capabilities, and success.

Ida A. Someh, Senior Lecturer in Business Information Systems

Ida is a senior lecturer at the UQ Business School, The University of Queensland, Australia and an MIT CISR academic research fellow. Her research focuses on organizational and societal impact of data, analytics, and artificial intelligence.

Find Us
Center for Information Systems Research
Massachusetts Institute of Technology
Sloan School of Management
245 First Street, E94-15th Floor
Cambridge, MA 02142
617-253-2348