46 citations · 50 across the 7 of their papers we have counts for
9 papers
Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution
Nripsuta Ani Saxena, Stelios Triantafyllou, Goran Radanović
With the growing adoption of artificial intelligence in high-stakes decision-making, identifying the causes of outcomes--particularly failures--and determining who is responsible h…
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications
Shamim Yazdani, Akansha Singh, Nripsuta Saxena +6
In recent years, deep learning based generative models, particularly Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models (DMs), have been…
POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
Nripsuta Ani Saxena, Shang-Ling Hsu, Mehul Shetty +3
Accurately attributing user visits to specific Points of Interest (POIs) is a foundational task for mobility analytics, personalized services, marketing and urban planning. However…
Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research
Nripsuta Ani Saxena, Abigail L. Horn, Wenbin Zhang +1
Despite location being increasingly used in decision-making systems deployed in sensitive domains such as mortgages and insurance, little attention has been paid to the unfairness…
Preventing Discriminatory Decision-making in Evolving Data Streams
Zichong Wang, Nripsuta Saxena, Tongjia Yu +8
Bias in machine learning has rightly received significant attention over the last decade. However, most fair machine learning (fair-ML) work to address bias in decision-making syst…
Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making
Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
Ride-hailing services have skyrocketed in popularity due to the convenience they offer, but recent research has shown that their pricing strategies can have a disparate impact on s…
Computational Group Selection
Nripsuta Saxena
Humans spend a significant part of their lives being a part of groups. In this document we propose research directions that would make it possible to computationally form productiv…
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena +2
With the widespread use of AI systems and applications in our everyday lives, it is important to take fairness issues into consideration while designing and engineering these types…
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
Nripsuta Saxena, Karen Huang, Evan DeFilippis +3
What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a pa…