This project explores the co-design of complex systems and the computational and artificial intelligence systems that are increasingly part of business structures. There is a core tension between the opportunity for ubiquitous AI to transform work for social good and the emergent risks around bias, security and privacy that arise as AI tools are deployed. With major support from an NSF NRT grant, this project supports:
- Multi-disciplinary research to co-design systems for the future of work with new computational frameworks for AI — with a focus on domains including disaster operations, the information landscape, and smart and connected mobility,
- A PhD fellowship program designed to prepare future technical innovators and policy-makers to lead as society navigates that tension,
- An impressive collection of interdisciplinary scholars with a shared focus on working to ensure that the way the AI transforms the workplace is a source for social good,
- A seminar series with rotating speakers exploring AI in work, ethics, law, and the structure of work
- A summer research-formulation boot camp bringing together industry professionals, academics and students to tackle real-world problems
- A graduate certificate in embedded, trustworthy AI that is designed for practitioners that need to make strategic choices about the design and implementation of AI tools in their work systems. This will start in the Fall of 2022.
The project leadership team includes (from left to right in the pictures below): Shelly Heller, Ekundayo Shittu, Zoe Szajnfarber and Robert Pless, all faculty in the Computer Science and Engineering Management and Systems Engineering Departments.
