![]() There’s a neurological reason so many of us are struggling right now. Why we’re struggling with decision-making The good news is, there’s a reason why making decisions feels especially hard right now, and expert strategies to make the path forward a little clearer, no matter where you’re looking to go. This bears out especially for parents and people of color, whose lives have been disproportionately upended over the past few years. And slightly more than three in five people (61%) said the last couple of years has made them rethink how they’re living their lives. More than one-third said it has been more stressful to make day-to-day decisions (36%) and major life decisions (35%) compared with before the pandemic. And the impact stretches from the day-to-day and beyond. Over the last couple of years, a massive amount of stress and uncertainty has resulted in a high level of decision fatigue, or difficulty making moves both large and small.Ī 2021 survey conducted by The Harris Poll on behalf of the American Psychological Association found that almost one-third of adults (32%) said sometimes they’re so stressed about the ongoing COVID-19 pandemic that they struggle to make basic decisions, with Millennials faring the worst at 48%. Many of us are struggling to figure out the smallest things (What should we have for dinner? Should we go to that concert this weekend?) or even begin to tackle the big stuff (What’s my next career move? Should we have kids? Am I going to get married?). We evaluate our post-processing techniques using the COMPAS data set from 2016.If you’re feeling stuck lately, you’re not alone. We also present different deferring strategies and show how they affect the fairness properties of the overall system. This suggests a way to partially evade the impossibility results of Chouldechova and Kleinberg et al., which preclude equalizing all of these measures simultaneously. When the post-processing is allowed to `defer' on some decisions (that is, to avoid making a decision by handing off some examples to a separate process), then for the non-deferred decisions, the resulting classifier can be made to equalize PPV, NPV, false positive rate (FPR) and false negative rate (FNR) across the protected groups. When the post-processing consists of a single global threshold across all groups, natural fairness properties, such as equalizing PPV in a nontrivial way, do not hold even for "nice" classifiers.Ģ. For certain "nice" calibrated classifiers, either PPV or NPV can be equalized when the post-processor uses different thresholds across protected groups, though there exist distributions of calibrated scores for which the two measures cannot be both equalized. There does not exist a general way to post-process a calibrated classifier to equalize protected groups' positive or negative predictive value (PPV or NPV). We study the feasibility of achieving various fairness properties by post-processing calibrated scores, and then show that deferring post-processors allow for more fairness conditions to hold on the final decision. ![]() Download a PDF of the paper titled From Soft Classifiers to Hard Decisions: How fair can we be?, by Ran Canetti and 5 other authors Download PDF Abstract:A popular methodology for building binary decision-making classifiers in the presence of imperfect information is to first construct a non-binary "scoring" classifier that is calibrated over all protected groups, and then to post-process this score to obtain a binary decision.
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