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Hiring and Artificial Intelligence: A Discussion of Bias and Superhuman Evaluators Dr. Nathan J. Mondragon Chief IO Psychologist HireVue

Nathan Mondragon - Hiring and Artificial Intelligence

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Hiring and Artificial Intelligence:A Discussion of Bias and Superhuman

Evaluators

Dr. Nathan J. MondragonChief IO Psychologist

HireVue

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CV Screen

Assessments

Exercises

Interviews

Hire

PAULETTE JONES6 Barclay Street Arlington,

MA 12333

To get a job in entry level managementObjective

555.555.5555 (home)

566.486.2222 (cell)

[email protected]

B.A., Business Management, January 2003

St. John's University, Smithtown, California GPA 3.75

Magna cum laude

Education

The Space Store, Manager

2015-Present

• Manage and schedule personnel training for over 50 employees.

• Co-created staff development plan offering training opportunities to encourage growth and

increase responsibility.

• Lead annual weekend orientation training retreat for 20-30 new employees

• Identified by customers as a clear and efficient communicator in multiple online reviews.

• Assist employees with on-the-floor issues, from customer service to technical issues with the

online sketching system.

Doug's Pizza, Manager

2012-2015

• Implement new online scheduling system for employees, leading to a 25% reduction in

employees missing or arriving late to shifts.

• Run monthly team development sessions that offer training to expand employee

responsibilities, helping increase employee retention by 15%

• Managed store operations and administration including scheduling, reports, inventory, and

customer service.

Work Experience

Summary of Qualifications

• Microsoft Word, Excel, Power Point, Access, Minitab, C, C++

• Member of the Youth Development Association

• Peer tutor in Macro Economics and Micro Economics

• Member of Association of Management Training

BRIAN SHARPE

456 Oakwood Terrace Philadelphia, PA 12121

555-555-1234

[email protected]

To get a job as a technical project managerOBJECTIVE

Bachelor of Arts, Penn State, May 2004

Double Majors: Computer Science and Philosophy

Overall GPA 3.81; Highest Honors each semester

EDUCATION

Real Estate Finance Intern, Raymond Charles Incorporated, Trenton, 2015

• Budgeted operating expenses and determined rent schedule through rent averaging process.

• Performed comparative analysis of operating expenses in Excel.

• Utilized centralized rent roll to verify monthly rental remittance from invoices for accuracy.

• Summarized lease documents for legal abstract and Lease Management System.

Computer Assistant, Center for Information Technology Services,, 2010-2015

• Answered students’ questions regarding issues with personal and school computers, as well as

school programs including Blackboard.

Data Entry, Wall Street Investment Assistance, New York, NY, 2011

• Requested and verified dividend reclassification information from fund company executives.

• Entered data received on WIA’s database

Data and Systems Department Assistant, New York Journal, New York, NY, 2009

• Assisted computer operators with payroll and sales administration data encoded tapes.

WORK EXPERIENCE

COMPUTER SKILLS

Proficient in HTML, PHP, SQL, Excel, Lexis/Nexis, Netscape, Mathematicas,

and Microsoft Office Suite.

MELISSA MARTIN

679 Swann Avenue,

Apt 5

Tampa, FL 33609

555-555-1234

[email protected]

To get a job in marketingOBJECTIVE

Bachelor of Arts, Florida State University, May 2004

Majors: Communications

Overall GPA 3.45

EDUCATION

Writer/Advertising Specialist, Florida State Sentinel, Tallahassee, 2003

• Authored Articles for student paper

• Generated new sponsorships for school paper

• Helped to create online presence

Server, Olive Garden, Tampa, 2001-2002

• Wait staff

• Substitute shift manager

Administrative Assistant/Data Entry, Rose Printing Company, Tallahassee, 2001

• Requested and verified dividend reclassification information from fund company executives.

• Entered data received on WIA’s database

WORK EXPERIENCE

COMPUTER SKILLS

Proficient in Microsoft Word, Microsoft Excel, Email, Microsoft Access, Internet

Explorer

There is bias in every step of

the hiring process…

So you say, not me…

What is Attractiveness

38

100

47

95

Bias Research Study

Higher Attractive folks hired

at 2x the rate

So what is an HR Professional to do?

• Standardized Tools are Biased

• People have Unconscious Biased

Use AI to provide

non-biased

results

ASSESSMENTS

EMOTION

FACIAL EXPRESSION

LANGUAGE PATTERNS

WORD CHOICE

DI G I TAL

I NPUTS

BUSI NESS

M ETRI CS

Assessment

Algorithm

97% 84%

65% 52%

22% 30%

Candidate Vid Candidate VidA B

Machine Scored Algorithm Results and Beauty

Beauty Score Job Performance

Candidate A Pic

Candidate B Pic

increase is average sales performance

for a sales person$50kretention for hourly

job groups ($2.8M in

savings)

Year longer

What This Could Mean for You…

of top scoring employees rated as more likely

to be promoted to GM70%increased upsell 30%

of employees would not use/hire again

from bottom third scoring77%

reduction in safety violations 50%

As likely to be termed for policy violations

or to commit violations2X

termed employee avoidance 58%

… And Bias Free

150+ AI Models built

have found a significant group difference<1%

Conclusion

• So you can have a vetted pool of applicants

• That maximize your chance of selecting high

performers

• Without any bias

• All you have to do is ‘select’ the candidates that fit your

specific team needs

• Or hiring goals (diversity improvement plans)

THANK YOU

Nathan [email protected]