116 citations · 239 across the 5 of their papers we have counts for
6 papers
A Risk Assessment Framework for Digital Identification Systems
Allison Woodruff, Dirk Balfanz, Will Drewry +1
We introduce a risk assessment framework for digital identification systems, as well as recommended best practices to enhance privacy, security, and other desirable properties in t…
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
Allison Woodruff, Renee Shelby, Patrick Gage Kelley +3
Generative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industri…
"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?
Allison Woodruff, Yasmin Asare Anderson, Katherine Jameson Armstrong +8
Algorithmic systems are increasingly deployed to make decisions in many areas of people's lives. The shift from human to algorithmic decision-making has been accompanied by concern…
Explainability Case Studies
Ben Zevenbergen, Allison Woodruff, Patrick Gage Kelley
Explainability is one of the key ethical concepts in the design of AI systems. However, attempts to operationalize this concept thus far have tended to focus on approaches such as…
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries
Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth +5
As the influence and use of artificial intelligence (AI) have grown and its transformative potential has become more apparent, many questions have been raised regarding the economi…
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi +6
As more researchers have become aware of and passionate about algorithmic fairness, there has been an explosion in papers laying out new metrics, suggesting algorithms to address i…