Towards A Desired Future of Work: Job Design for Human-AI Partnerships

Job design is the process of creating a job that enables an organization to achieve its goals while motivating and rewarding the employee. Artificial Intelligence has the potential to both positively and negatively affect people's autonomy, job feedback, skill use and variety, and job significance with consequences for people's well-being and performance. To create a desirable future of work, we need to create interdisciplinary design teams of job designers, experience designers, and Al designers.

During this interactive workshop, we will explore how to jointly optimize Human-Al partnerships through contextual inquiry and iterative testing.

Sponsored by Design Initative at Dartmouth

About the Speaker(s)

Elizabeth Gerber '98
Prof of Mechanical Engineering, Northwestern

Dr. Gerber is a Professor of Mechanical Engineering, Communication Studies, Computer Science (by courtesy), Learning Sciences (by courtesy) and the Co-Director of Human Computer Interaction and Design at Northwestern. Gerber's research focuses on designing socio-technical systems to support inclusive innovation.

Contact

For more information, contact Paula Olson at paula.l.olson@dartmouth.edu.