Hatim A. Rahman is an Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University. His research investigates how artificial intelligence, undergirded by algorithms, is impacting the nature of work and employment relationships in organizations and labor markets. His current research uses field data collected through participant observation, interviews, and archival sources to study how sophisticated algorithms are being used by digital platform organizations to disrupt the way people work and are evaluated. His research uses both qualitative field methods and computational social science techniques.

Professor Rahman's research has been published in Administrative Science Quarterly, Organization Science, and Academy of Management Discoveries. This research has received several awards, including from INFORMS, Academy of Management, Psychology of Technology Institute, Industry Studies Association, and ICIS.

Prior to joining Kellogg, Hatim received his PhD and Masters in Management Science and Engineering from Stanford University and his B.S. in Business Administration from the University of Illinois at Urbana-Champaign.

Technology’s role in organizations, digital platforms, employment relationships, and labor markets, especially the impact of algorithms and artificial intelligence. Sociology of work and occupations. Algorithmic management and evaluations.

• PhD, 2019, Management Science & Engineering, Stanford University
• M.S., 2014, Organizations, Technology, Entrepreneurship, Stanford University
• B.A., 2009, Business Process Management, with Minor in Technology and Management, University of Illinois-Urbana Champaign

• Industry Studies Association Giarratani Rising Star Award Winner
• Psychology of Technology Dissertation Award Winner
• Academy of Management Best Student Paper Runner Up (OCIS Division)
• International Conference on Information Systems (ICIS) Best Paper Finalist
• INFORMS Dissertation Competition Finalist
• Academy of Management Best Student Paper Finalist (OCIS Division)
• Stanford Humanities and Science Fellowship
• Stanford Management Science and Engineering Fellowship
• Dean’s Scroll Award (Annual award presented by the Deans of the College of Business to ten graduating seniors at the University of Illinois-Urbana, Champaign)

Aritficial Intelligence and the Future of Work

Artificial Intelligence and the Future of Work (MORS-944-0)
Artificial Intelligence (AI) has or is predicted to disrupt almost every industry and sector. Yet, many managers and business leaders lack knowledge on how they can realistically prepare for and integrate AI into their organizations and strategic outlook. In this course, we begin by understanding what exactly AI is, how it differs from other technologies, and what challenges and opportunities AI has for organizations. Through a mix of research articles, innovative hands-on exercises with end-user AI platforms, case studies, and leading industry speakers, this course brings into sharp focus the role AI technologies have today in organizations and how they can be practically harnessed. Topics covered include how AI impacts organizational design, teams, hiring, decision making, creativity and other topics related to the future of work. The course does not assume any particular technical background related to coding or statistics – we will focus on the organizational and managerial implications of AI and how it can be applied in the workplace, rather than on technical dimensions. At the end of the class, you will have a more complete understanding of the limitations and opportunities AI has, broadly, and specifically on organizations and work. Because the aim of the course is to build understanding related to the relationship between AI, organizations, and work, you will spend much of your time preparing for and engaging in class discussion. Our discussions will be based on the assigned reading and discussion questions noted in the syllabus. So, class participation is essential in order for you to get the maximum benefits from the course.