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How AI Can Prevent Workplace Harassment & Protect Your Bottom Line

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Presentation on theme: "How AI Can Prevent Workplace Harassment & Protect Your Bottom Line"— Presentation transcript:

1 How AI Can Prevent Workplace Harassment & Protect Your Bottom Line
Ben Mones, Co-founder and CEO, Fama Technologies

2 FOUNDING STORY

3 MARKET SHIFT: OVERVIEW Epidemic of unreported harassment, bigotry, and violence
2 MILLION 25% 46% 75% Percentage of workplace harassment incidents that go unreported Percentage of Americans who  believe workplace bullying and bigotry have worsened lately Percentage of workplace harassment incidents that go unreported Percentage of workplace violence that goes unreported *Sources: National Safety Council Society for HR Management Equal Employment Opportunity Commission

4 PRODUCTVITY AND INNOVATION Assessing impact of toxic behavior
Percentage of good employees likely to quit working with a toxic employee 54% Percentage drop in team performance in toxic environments 40% Percentage drop in individual performance in toxic environments 66% *Sources: Fama 2019 Toxic Employee Handbook CSOD 2015 Toxic Behavior Report Inc. Magazine “Toxic Workers,” Sep 2018

5 AI OR PEOPLE WAZE vs MAPQUEST

6 MEET MY FRIEND, WAZE

7 CHALLENGES WITH AI Using a number to predict a person’s success
Uniform Guidelines for Employment Selection Procedures (UGESP); “explainability” Labeled outcomes today are not enough to drive home brand promise Bias creeps in…

8 AI & THE STOPLIGHT

9 FAMA’S APPROACH

10 OUR APPROACH GATHER VERIFY ANALYZE
Use simple information to create robust search criteria VERIFY Match data points to confirm individual in question ANALYZE NLP & Image Recognition structure unstructured information online; agreeable human terms

11 CONCLUSION: ANYTHING IS POSSIBLE

12


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