1 citations · 2 across the 3 of their papers we have counts for
3 papers
quant-ph2024
Identification and Mitigating Bias in Quantum Machine Learning
Nandhini Swaminathan, David Danks
As quantum machine learning (QML) emerges as a promising field at the intersection of quantum computing and artificial intelligence, it becomes crucial to address the biases and ch…
cs.AI2024★ 1 cited
AI, Pluralism, and (Social) Compensation
Nandhini Swaminathan, David Danks
One strategy in response to pluralistic values in a user population is to personalize an AI system: if the AI can adapt to the specific values of each individual, then we can poten…
cs.CY2024★ 1 cited
Application of the NIST AI Risk Management Framework to Surveillance Technology
Nandhini Swaminathan, David Danks
This study offers an in-depth analysis of the application and implications of the National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) within…