Technology as a servant: Neuroscience, Machine Learning, and the Future of Recruitment - Dr. Marcia Goddard

1. Technology as a Servant:
Neuroscience, Machine Learning,
and the Future of Recruitment
Dr. Marcia Goddard
Neuroscientist at YoungCapital

2. NEUROSCIENCE

3. RED YELLOW GREEN
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BLUE BLUE
YELLOW RED GREEN
RED RED

4. RED YELLOW GREEN
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YELLOW RED GREEN
RED RED

5. MACHINE LEARNING

6. THE POWER OF ML

7. CHALLENGES: NOISE & COMPLEXITY
Shop/Not shop in supermarket Selected/Not
selected for a job:
clear patterns
no clear patterns

8. ML IN RECRUITMENT: HOW?
o Candidate A selected for job B, X other candidates not selected
o Patterns in profiles of selected candidates?
o Predict chances of success for new candidates based on this pattern
o “Technology is a useful servant, but a dangerous master”
o Garbage in, garbage out

9. ML: THE DREAM
V.1: ranking applicants
For high-volume recruitment
V.2: raking search queries
For efficient candidate searches and reduction of spam
(no more ‘spray and pray’)
V.3: personalized job suggestions/success prediction
Don’t reject → refer
Service to candidates
(in combination with e-learning/assessment)

10. THE DREAM V.4:
SOFT SKILL DATA
MACHINE LEARNING

11. PERSONALITY
o Insight into soft skill development of our candidates
o 200 questions, average completion time 15 mins
o Based on the Big 6 personality model
o Comprehensive report including scores on 38
personality factors
TALENT SCAN

12. PERSONALITY AND RECRUITMENT
GENDER DIFFERENCES IN PERSONALITY
EMPATHIC ABILITY
STRESS RESILIENCE
INTEGRITY
DECISION MAKING

13. THE FUTURE OF RECRUITMENT

14. ON THE 21ST CENTURY WORK FLOOR
CHANGE IS THE ONLY CONSTANT

15. SUCCESS?
WHAT DETERMINES

16. TALENT X GROWTH POTENTIAL X ENVIRONMENT
SUCCESS =

17. MINDSET?
OUR CONVICTIONS ABOUT
INTELLIGENCE, SKILLS, AND QUALITIES

18. VS
MINDSET?

19. MINDSET
SPECTRUM
Change and growth
Challenges and difficulties
Effort
Failure
Help and feedback
Success of others
LOW GROWTH GROWTHMIXEDFIXED HIGH GROWTH

20. TECHNOLOGY AS A SERVANT
Neuroscience, Machine Learning, and the Future of Recruitment