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Margret Bjarnadottir of University of Maryland on the PDFG Podcast with Al Adamsen
Speaker: Margret Bjarnadottir of University of Maryland and PayAnalytics
Theme: Data Science
0:00 - Introduction
2:38 - How did Margret get into the field?
5:39 - What do organizations need to focus on for pay equity?
7:50 - Who should be involved in the discussion of pay equity?
13:10 - What are Margret’s concerns for analytics and AI?
17:55 - How do algorithms affect achieving diversity, equity, and inclusion?
24:18 - What does human in the loop analytics look like?
26:28 - Should people analytics leaders be leading the discussion?
30:52 - How should small and mid sized companies treat the issue of pay equity?
34:14 - What should companies consider when adopting algorithms?
40:26 - Should there be a role for deciding a company’s analytical process?
43:29 - Is data neutral?
48:15 - What’s Margret’s motivation?
52:37 - Why do organizations need to prioritize pay equity?
58:23 - Conclusion
Learn more about our digital events and the people data for good movement: www.pafow.net
To ongoing learning, creativity, and compassion for the human experience!
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By Al Adamsen
4.9
1212 ratings
Speaker: Margret Bjarnadottir of University of Maryland and PayAnalytics
Theme: Data Science
0:00 - Introduction
2:38 - How did Margret get into the field?
5:39 - What do organizations need to focus on for pay equity?
7:50 - Who should be involved in the discussion of pay equity?
13:10 - What are Margret’s concerns for analytics and AI?
17:55 - How do algorithms affect achieving diversity, equity, and inclusion?
24:18 - What does human in the loop analytics look like?
26:28 - Should people analytics leaders be leading the discussion?
30:52 - How should small and mid sized companies treat the issue of pay equity?
34:14 - What should companies consider when adopting algorithms?
40:26 - Should there be a role for deciding a company’s analytical process?
43:29 - Is data neutral?
48:15 - What’s Margret’s motivation?
52:37 - Why do organizations need to prioritize pay equity?
58:23 - Conclusion
Learn more about our digital events and the people data for good movement: www.pafow.net
To ongoing learning, creativity, and compassion for the human experience!