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How AI is going to transform
recruitment?
2017 Trends
Artificial intelligence for recruitment is the
next generation of software intended to
improve or automate parts of the talent
acquisition.
Machines are better at certain things
AI can be leveraged to support humans by automating:
• Sourcing
• Screening
• Matching
• and assessing
Research featured in the Harvard
Business Review found that compared to
using expert human judgment, an
algorithm increases the accuracy of
selecting successful job candidates by
more than 50%.
TREND #1 – AI in Sourcing
• Get better applicants for less cost, effort and time
• AI surpasses Boolean search as it’s able to find matches
that don’t contain specific keywords
• Helps to eliminate human bias, like candidate’s age, race
and gender by assessing candidates purely on their merits
*AI can learn already existing human bias, so it’s important to take steps to
remove clear patterns of potential bias.
TREND #1 – AI in Sourcing
Reach passive talent
AI for candidate sourcing is technology that searches for data that
people leave online (e.g., resumes, professional portfolios, or social
media profiles) to find passive candidates that match your job
requirements.
TREND #1 – AI in Sourcing
TREND 2 – AI in Screening
Saving recruiters’ time by automating high-volume tasks
• There are hundreds of millions of candidate profiles & CVs online
• Manual screening of resumes is still the most time-consuming part of recruiting
• 75% to 88% of the resumes received for a role are unqualified
• Screening resumes & shortlisting candidates to interview is estimated to take
23 hours of a recruiter’s time for a single hire.
TREND #2 – AI in Screening
Utilise AI-powered chatbots
They automate manual, labour-intensive initial candidate screening, by:
• reviewing candidate application with them,
• answering questions about the hiring process,
• and, if the candidate is interested and qualified, they schedule first
interview.
TREND #3 – AI in Candidate Matching
Matching algorithms analyse multiple sources
of data such as candidates’ personality traits,
skills, and salary preferences to automatically
assess candidates against the job
requirements.
TREND #4 – AI in Assessing
Linking to each job’s unique performance
measures, these AI-driven assessments use
custom algorithms to connect the dots
between assessment information and job
success.
TREND #4 – AI in Assessing
AI and machine learning can be used to assess video interviews
based on:
What the candidates say during their interview
And how they say it –analysing:
• content and phrasing
• language level, voice, tone
• physical gestures
• heat variations across their face
• and even their pupil dilation
Will recruiters be replaced by robots?
An algorithm can replace a recruiter when it
comes to sourcing & assessing job candidates
but it can't when it comes to engaging them -
interviewing and relationship-building.
How AI for recruiting will change
the recruiter role?
• Low-value, time consuming recruiting tasks will
become streamlined and automated with AI.
• Recruiter’s role will become more strategic.
How AI for recruiting will change
the recruiter role?
Tech savvy recruiters will benefit from AI, they will learn
about and embrace technology, which will:
• lower costs
• improve time-to-hire
• quality of applicants
• and, ultimately, quality of hire
Futureproof Recruitment Success Strategies
1. Leverage AI in sourcing and early screening
stages
2. Use programmatic for better job advertising
3. Understand and deploy AI tools for improving
candidate experience
4. Become and early-adopter or fast-follower, don’t
wait for the tools to become mainstream
For more information visit www.cpl.com

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How AI is going to transform recruitment?

  • 1. How AI is going to transform recruitment? 2017 Trends
  • 2. Artificial intelligence for recruitment is the next generation of software intended to improve or automate parts of the talent acquisition.
  • 3. Machines are better at certain things AI can be leveraged to support humans by automating: • Sourcing • Screening • Matching • and assessing
  • 4. Research featured in the Harvard Business Review found that compared to using expert human judgment, an algorithm increases the accuracy of selecting successful job candidates by more than 50%.
  • 5. TREND #1 – AI in Sourcing
  • 6. • Get better applicants for less cost, effort and time • AI surpasses Boolean search as it’s able to find matches that don’t contain specific keywords • Helps to eliminate human bias, like candidate’s age, race and gender by assessing candidates purely on their merits *AI can learn already existing human bias, so it’s important to take steps to remove clear patterns of potential bias. TREND #1 – AI in Sourcing
  • 7. Reach passive talent AI for candidate sourcing is technology that searches for data that people leave online (e.g., resumes, professional portfolios, or social media profiles) to find passive candidates that match your job requirements. TREND #1 – AI in Sourcing
  • 8. TREND 2 – AI in Screening Saving recruiters’ time by automating high-volume tasks • There are hundreds of millions of candidate profiles & CVs online • Manual screening of resumes is still the most time-consuming part of recruiting • 75% to 88% of the resumes received for a role are unqualified • Screening resumes & shortlisting candidates to interview is estimated to take 23 hours of a recruiter’s time for a single hire.
  • 9. TREND #2 – AI in Screening Utilise AI-powered chatbots They automate manual, labour-intensive initial candidate screening, by: • reviewing candidate application with them, • answering questions about the hiring process, • and, if the candidate is interested and qualified, they schedule first interview.
  • 10. TREND #3 – AI in Candidate Matching Matching algorithms analyse multiple sources of data such as candidates’ personality traits, skills, and salary preferences to automatically assess candidates against the job requirements.
  • 11. TREND #4 – AI in Assessing Linking to each job’s unique performance measures, these AI-driven assessments use custom algorithms to connect the dots between assessment information and job success.
  • 12. TREND #4 – AI in Assessing AI and machine learning can be used to assess video interviews based on: What the candidates say during their interview And how they say it –analysing: • content and phrasing • language level, voice, tone • physical gestures • heat variations across their face • and even their pupil dilation
  • 13. Will recruiters be replaced by robots?
  • 14. An algorithm can replace a recruiter when it comes to sourcing & assessing job candidates but it can't when it comes to engaging them - interviewing and relationship-building.
  • 15. How AI for recruiting will change the recruiter role? • Low-value, time consuming recruiting tasks will become streamlined and automated with AI. • Recruiter’s role will become more strategic.
  • 16. How AI for recruiting will change the recruiter role? Tech savvy recruiters will benefit from AI, they will learn about and embrace technology, which will: • lower costs • improve time-to-hire • quality of applicants • and, ultimately, quality of hire
  • 17. Futureproof Recruitment Success Strategies 1. Leverage AI in sourcing and early screening stages 2. Use programmatic for better job advertising 3. Understand and deploy AI tools for improving candidate experience 4. Become and early-adopter or fast-follower, don’t wait for the tools to become mainstream
  • 18. For more information visit www.cpl.com