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Algorithmic Decisionmaking : Finish Title Here

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Algorithmic decisionmaking – FINISH TITLE HERE

Introduction

Over the past two years there have been a lot of conversations about the era of big data. There have been numerous hearings in Congress and federal agencies, countless news stories, and multiple reports from the White House. Most of the public discourse has been around commercial and corporate uses of big data to make decisions that could be personally intrusive, harm or discriminate against individuals. The Wall Street Journal ran a report about pricing by Staples.com, in which the company’s algorithm was changing its pricing online after estimating a user’s location relative to a Staples’ competitor. In another instance, Target came under fire for its marketing algorithm accurately sending a teenager information about pregnancy.

As a result, when polled, 51 percent of Americans are concerned with the impact collecting personal information will have on vulnerable communities. Forty-nine percent are concerned about being able to have control of personal information, and 46 percent are concerned about companies using computer algorithms that may contain false inputs and that are kept secret to make critical decisions about their lives.
Although stories like Target, Staples.com, and many others have dominated headlines, what is seldom discussed is that government agencies are increasingly using similar approaches, and the implications are troubling. From our policing and justice system to our public benefits and

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