Actionable Ethics for Fairness in AISeptember 2020
Topics: Artificial Intelligence, Policy, Data Analytics
From consumer uses such as whole-home automation systems to applications in manufacturing, space, and national security, AI is contributing to operational efficiencies. However, there is also growing awareness of AI solutions that have resulted in disparate impacts and harm. As AI becomes more ubiquitous, concerns about how and when it is used take on greater urgency and importance.
These concerns should not sideline AI tools, which offer potential benefits. Rather, these concerns should be addressed by actively working to build fairness and ethical logic into AI solutions and by stress-testing these solutions for potential unintended consequences.
Learn more about MITRE's Center for Data-Driven Policy.