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  <title>Fixing discrimination in online marketplaces</title>
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   <placeTerm type="text">Boston</placeTerm>
   <publisher>Harvard Business School Publications</publisher>
   <dateIssued>December 2016</dateIssued>
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  <extent>p. 88 - 95</extent>
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 <note>Online marketplaces such as eBay, Uber, and Airbnb have the potential to&#13;
 reduce racial, gender, and other forms of bias that affect the off-line&#13;
 world. And in the early days of internet commerce, the relative &#13;
anonymity of transactions did make it harder for participants to &#13;
discriminate. But as listings began to include photos, names, and other &#13;
means of identification, bias emerged in areas ranging from labor &#13;
markets to credit applications to housing—sometimes made worse by a lack&#13;
 of regulation, the absence of in-person interactions, and the use of &#13;
automation and big data. How can companies reverse the tide? The key &#13;
lies in more-intentional platform design, say the authors, who offer a &#13;
framework for creating a thriving marketplace while minimizing the risk &#13;
of discrimination. For starters, they say, companies must track and &#13;
report on potential problems and carefully test choices that may &#13;
influence the extent of discrimination. And they should thoroughly &#13;
examine four design decisions, asking themselves: • Are we providing too&#13;
 much information? In many cases, the simplest, most effective change a &#13;
platform can make is to withhold information such as race and gender &#13;
until after a transaction has been agreed to. • Could we further &#13;
automate the process? Features such as “instant book,” allowing a buyer &#13;
to sign up for a rental, say, without the seller’s prior approval, can &#13;
reduce discrimination while increasing convenience. • Can we make &#13;
discrimination policies more top-of-mind? Presenting them during the &#13;
actual transaction process, rather than burying them in fine print, &#13;
makes them less likely to be broken. • Should we make our algorithms &#13;
discrimination-aware? To ensure fairness, designers need to track how &#13;
race or gender affects the user experience and set explicit objectives. &#13;
Seemingly small design features can have an outsize impact on &#13;
discriminatory behavior. Smart choices and transparent experimentation &#13;
can create markets that are both more efficient and more inclusive. &#13;
[ABSTRACT FROM AUTHOR] &lt;br&gt;</note>
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