most citedUnequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation

Mackenzie Jorgensen, Jo Reilly, Alex Sutherland +1

AI tools are being increasingly adopted in policing in the UK and worldwide. Racial bias is a known and well-documented risk, yet representatives of affected communities are rarely…

cs.CY20261 cited

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI

Holli Sargeant, Mackenzie Jorgensen, Arina Shah +3

Uncertainty in artificial intelligence (AI) predictions raises pressing legal and ethical questions for AI-assisted decision-making. This article examines two uncertainty-based alg…

cs.AI2026

Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

Silvia Rossi, Diletta Huyskes, Mackenzie Jorgensen

Ethical debates in AI have primarily focused on back-end issues such as data governance, model training, and algorithmic decision-making. Less attention has been paid to the ethica…

cs.CY2026

Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool

Floris Holstege, Mackenzie Jorgensen, Kirtan Padh +4

Algorithms are increasingly used to automate or aid human decisions, yet recent research shows that these algorithms may exhibit bias across legally protected demographic groups. H…

cs.CY2025

Documenting Deployment with Fabric: A Repository of Real-World AI Governance

Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins +10

Artificial intelligence (AI) is increasingly integrated into society, from financial services and traffic management to creative writing. Academic literature on the deployment of A…