Project Summary

Advances in AI are shaping the future of work, but how can we ensure that employees, organizations, and society will benefit from the changes? Instead of automating tasks, which can reduce or eliminate the need for human workers, this project seeks to design smart hand tools that have embedded sensing and AI. These capabilities provide real-time feedback, improve predictive capacity, and support task effectiveness, which empowers workers to accomplish more while keeping their jobs secure. Smart hand tools will help improve workers’ safety and enable more equitable access to jobs by minimizing the amount of training needed and promoting usability across ages and abilities.

Project Team

Kenneth Fleischmann (Lead, School of Information), Sherri Greenberg (Co-Lead, LBJ School of Public Affairs), Raul Longoria (Co-Lead, Mechanical Engineering), Jakki Bailey (School of Information), Sandeep Chinchali (Electrical and Computer Engineering), Ashish Deshpande (Mechanical Engineering), Kathy Hill (School of Information), Min Kyung Lee (School of Information), Jose del R. Millán (Electrical and Computer Engineering), Ricardo Palacios (Mechanical Engineering), Stephen C. Slota (School of Information), Paul Toprac (Computer Science), S. Craig Watkins (Journalism and Media), Bo Xie (Nursing), Salvador Cipres (Gentex Corporation), Jeffrey Gohean (Windwill Cardiovascular Systems). Ed Latson (Austin Regional Manufacturers Association), Karl Popham (Austin Energy), Charles Purma III (City of Austin Innovation Office)