27 citations · 71 across the 5 of their papers we have counts for
5 papers
What Are You Hiding? Algorithmic Transparency and User Perceptions
Aaron Springer, Steve Whittaker
Extensive recent media focus has been directed towards the dark side of intelligent systems, how algorithms can influence society negatively. Often, transparency is proposed as a s…
Dice in the Black Box: User Experiences with an Inscrutable Algorithm
Aaron Springer, Victoria Hollis, Steve Whittaker
We demonstrate that users may be prone to place an inordinate amount of trust in black box algorithms that are framed as intelligent. We deploy an algorithm that purportedly assess…
Progressive Disclosure: Designing for Effective Transparency
Aaron Springer, Steve Whittaker
As we increasingly delegate important decisions to intelligent systems, it is essential that users understand how algorithmic decisions are made. Prior work has often taken a techn…
"I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency
Aaron Springer, Steve Whittaker
The rise of machine learning has brought closer scrutiny to intelligent systems, leading to calls for greater transparency and explainable algorithms. We explore the effects of tra…
Assessing and Addressing Algorithmic Bias - But Before We Get There
Jean Garcia-Gathright, Aaron Springer, Henriette Cramer
Algorithmic and data bias are gaining attention as a pressing issue in popular press - and rightly so. However, beyond these calls to action, standard processes and tools for pract…