7 citations · 11 across the 5 of their papers we have counts for
5 papers
To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems
Shreya Chappidi, Jatinder Singh
Responsible AI research typically focuses on examining the use and impacts of deployed AI systems. Yet, there is currently limited visibility into the pre-deployment decisions to p…
Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making
Shreya Chappidi, Jatinder Singh, Andra V. Krauze
LLMs are increasingly supporting decision-making across high-stakes domains, requiring critical reflection on the socio-technical factors that shape how humans and LLMs are assigne…
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
Shreya Chappidi, Jennifer Cobbe, Chris Norval +2
Accountability regimes typically encourage record-keeping to enable the transparency that supports oversight, investigation, contestation, and redress. However, implementing such r…
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making
Kori Inkpen, Shreya Chappidi, Keri Mallari +6
Human-AI collaboration for decision-making strives to achieve team performance that exceeds the performance of humans or AI alone. However, many factors can impact success of Human…
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato, Shreya Chappidi, Matthew Lungren +7
Details of the designs and mechanisms in support of human-AI collaboration must be considered in the real-world fielding of AI technologies. A critical aspect of interaction design…