
Sign up to save your podcasts
Or
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).
4.5
6868 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).
882 Listeners
30,915 Listeners
613 Listeners
111,352 Listeners
55,993 Listeners
205 Listeners
0 Listeners
0 Listeners
0 Listeners
0 Listeners
0 Listeners
142 Listeners
15,952 Listeners
6,444 Listeners
2,953 Listeners
35 Listeners
17 Listeners
12,079 Listeners
1,420 Listeners
10,342 Listeners
2,967 Listeners
562 Listeners