Model Multiplicity Opportunities Concerns And Solutions

Model Multiplicity Opportunities Concerns And Solutions Model multiplicity: opportunities, concerns, and solutions. that difer in their individual level predictions or aggregate properties. this phenomenon—which we call model multiplicity—can. introduce a good deal of flexibility into the model selection process, creating a range of exciting opportunities. By demonstrating that there are many different ways of making equally accurate predictions, multiplicity gives model developers the freedom to prioritize other values in their model selection process without having to abandon their commitment to maximizing accuracy.

Model Multiplicity Opportunities Concerns And Solutions Youtube In this work, we investigate how to take advantage of the flexibility afforded by model multiplicity while addressing the concerns with justifiability that it might raise. keywords: model multiplicity, predictive multiplicity, procedural multiplicity, fairness, discrimination, recourse, arbitrariness. Model multiplicity: opportunities, concerns, and solutions people subject to the model to seek recourse. we also show that model multiplicity has. This work investigates how to take advantage of the flexibility afforded by model multiplicity while addressing the concerns with justifiability that it might raise, and demonstrates that there are many different ways of making equally accurate predictions. recent scholarship has brought attention to the fact that there often exist multiple models for a given prediction task with equal. Recent scholarship has brought attention to the fact that there often exist multiple models for a given prediction task with equal accuracy that differ in their individual level predictions or aggregate properties. this phenomenon—which we call model multiplicity—can introduce a good deal of flexibility into the model selection process, creating a range of exciting opportunities. by.

Model Multiplicity Opportunities Concerns And Solutions This work investigates how to take advantage of the flexibility afforded by model multiplicity while addressing the concerns with justifiability that it might raise, and demonstrates that there are many different ways of making equally accurate predictions. recent scholarship has brought attention to the fact that there often exist multiple models for a given prediction task with equal. Recent scholarship has brought attention to the fact that there often exist multiple models for a given prediction task with equal accuracy that differ in their individual level predictions or aggregate properties. this phenomenon—which we call model multiplicity—can introduce a good deal of flexibility into the model selection process, creating a range of exciting opportunities. by. Request pdf | on jun 21, 2022, emily black and others published model multiplicity: opportunities, concerns, and solutions | find, read and cite all the research you need on researchgate. Model multiplicity: opportunities, concerns, and solutions. black e; raghavan m; barocas s; acm international conference proceeding series (2022) 850 863.