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The hiring process can be long and costly, which is why some employers are turning to data-driven algorithms that promise to deliver qualified candidates in a fraction of the time, all while eliminating human bias. But what if these algorithms inadvertently reinforce discrimination? In this episode, we’ll talk about how to tackle biases in the hiring process.
Copyright © 2020 ADP, Inc. All rights reserved. This content may not be distributed, reproduced, modified, sold or used without the written permission of ADP. The information is provided "as is" without any expressed or implied warranty, is based on generally accepted HR practices and is advisory in nature. This content is provided with the understanding that neither the presenters nor the writers are rendering legal advice or other professional services. Employers are encouraged to consult with legal counsel for advice regarding their organization's compliance with applicable laws. This material is current as of the date of this episode (July 15, 2019).
By ADP4.5
7474 ratings
The hiring process can be long and costly, which is why some employers are turning to data-driven algorithms that promise to deliver qualified candidates in a fraction of the time, all while eliminating human bias. But what if these algorithms inadvertently reinforce discrimination? In this episode, we’ll talk about how to tackle biases in the hiring process.
Copyright © 2020 ADP, Inc. All rights reserved. This content may not be distributed, reproduced, modified, sold or used without the written permission of ADP. The information is provided "as is" without any expressed or implied warranty, is based on generally accepted HR practices and is advisory in nature. This content is provided with the understanding that neither the presenters nor the writers are rendering legal advice or other professional services. Employers are encouraged to consult with legal counsel for advice regarding their organization's compliance with applicable laws. This material is current as of the date of this episode (July 15, 2019).

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