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Manipulating Opportunity, Pauline Kim
Manipulating Opportunity, Pauline Kim
Scholarship@WashULaw
Concerns about online manipulation have centered on fears about undermining the autonomy of consumers and citizens. What has been overlooked is the risk that the same techniques of personalizing information online can also threaten equality. When predictive algorithms are used to allocate information about opportunities like employment, housing, and credit, they can reproduce past patterns of discrimination and exclusion in these markets. This Article explores these issues by focusing on the labor market, which is increasingly dominated by tech intermediaries. These platforms rely on predictive algorithms to distribute information about job openings, match job seekers with hiring firms, or recruit …
Auditing Algorithms For Discrimination, Pauline Kim
Auditing Algorithms For Discrimination, Pauline Kim
Scholarship@WashULaw
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective in ensuring the fairness of algorithms than insisting on transparency. When it comes to combating discrimination, technical tools alone will not be able to prevent discriminatory outcomes. Because the causes of bias often lie, not in the code, but in broader social processes, techniques like randomization or predefining constraints on the decision-process cannot guarantee the absence of bias. Even the most carefully designed systems may inadvertently encode preexisting prejudices or reflect structural bias. For this …