Community Responsive Algorithms for Social Accountability (CRASA)
CRASA is a multidisciplinary, community-based participatory research program to develop an algorithm accountability benchmark to meet societal and legal needs and guide best practices.
CRASA Project Leads Received Faculty Excellence Awards
Assoc. Prof. Ryan Kennedy and Distinguished University Prof. Ioannis A. Kakadiaris received the Awards for Excellence in Research, Scholarship and Creative Activity for the 2021-2022 academic year.
Algorithms play an important role in our lives
Data-driven automated decision systems play an increasingly substantial role in making or assisting many critical decisions around the world.
CRASA is a mixed-method and multidisciplinary research program for addressing the issue of algorithm accountability. The overall research strategy involves five objectives.
AAB is the foundation for aligning AI to human values
The algorithm accountability benchmark will help achieve a trustworthy and safe AI that is welcome in society and can help tackle humanity's most significant challenges with the goal of improved social good.