7 citations · 18 across the 6 of their papers we have counts for
6 papers
Data-Centric Governance
Sean McGregor, Jesse Hostetler
Artificial intelligence (AI) governance is the body of standards and practices used to ensure that AI systems are deployed responsibly. Current AI governance approaches consist mai…
Indexing AI Risks with Incidents, Issues, and Variants
Sean McGregor, Kevin Paeth, Khoa Lam
Two years after publicly launching the AI Incident Database (AIID) as a collection of harms or near harms produced by AI in the world, a backlog of "issues" that do not meet its in…
Participation Interfaces for Human-Centered AI
Sean McGregor
Emerging artificial intelligence (AI) applications often balance the preferences and impacts among diverse and contentious stakeholder groups. Accommodating these stakeholder group…
A taxonomic system for failure cause analysis of open source AI incidents
Nikiforos Pittaras, Sean McGregor
While certain industrial sectors (e.g., aviation) have a long history of mandatory incident reporting complete with analytical findings, the practice of artificial intelligence (AI…
Fast Optimization of Wildfire Suppression Policies with SMAC
Sean McGregor, Rachel Houtman, Claire Montgomery +2
Managers of US National Forests must decide what policy to apply for dealing with lightning-caused wildfires. Conflicts among stakeholders (e.g., timber companies, home owners, and…
Factoring Exogenous State for Model-Free Monte Carlo
Sean McGregor, Rachel Houtman, Claire Montgomery +2
Policy analysts wish to visualize a range of policies for large simulator-defined Markov Decision Processes (MDPs). One visualization approach is to invoke the simulator to generat…