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AI has a problem

with Bias – how do

we tackle it

Payal Jain

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Who is more likely to default on their mortgage?

A. Carlos B. Jack

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Who makes the better data scientist?

A. Dave B. Emma

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Who is more likely to be a repeat offender?

A. Simon B. Julian

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The real risk in AI

What rate we can borrow at Whether we get a job interview Our position in society

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How is Dave a better coder than Emma?

Vacancy Current Team Screening CVs Joins the team

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Are we facing a diversity crisis?

78%of AI Data Scientists are

male

11%of data and analytics teams

have NO females

4%of workforce are black at

Facebook & Microsoft

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2000

2005

2009..

2019

50%

41%

34%

27%

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15% net revenue uplift

6%GDP growth expected

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DATA BRAND

REINVENT

RECRUITMENT

PROCESS

CELEBRATE

TALENT

CONSCIOUSLY

INVEST

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DATAGILITY TM

BEHAVIOURS AND

CULTURE

PEOPLE

1

3

2

4METHODOLOGYDATA CAPABILITY

For Data Scientists like Emma and Dave:

• In 2015 the average time in roles was 3-4 years

• 12-18 months in 2019

• Working in Silos

• Minimal business value

• 40% of time spent on mundane tasks

• Costing £7000 - £9000 per hire

Build a data and analytics brand

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Reinvent the recruitment process

Create relationships Diverse panelsDifferentiated job averts, role profiles & unbiased CV

screening

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Celebrate role models

Review company policy

Mentors and coachesDevelop skills

Career paths

Celebrate talent

Become sponsors

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Consciously Invest

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