Director, Employee Wellbeing at Benefex Featured in The - - PowerPoint PPT Presentation

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Director, Employee Wellbeing at Benefex Featured in The - - PowerPoint PPT Presentation

The Latest Tech Developments in AI Designed to Improve the Employee Experience Gethin Nadin, Director of Employee Wellbeing Director, Employee Wellbeing at Benefex Featured in The Guardian, The Financial Times & Huffington Post


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The Latest Tech Developments in AI Designed to Improve the Employee Experience

Gethin Nadin, Director of Employee Wellbeing

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  • Director, Employee Wellbeing

at Benefex

  • Featured in The Guardian,

The Financial Times & Huffington Post

  • Founding member of the

Engage for Success Wellbeing Thought Action Group

  • The EEA Global Influencer
  • Listed as an EX expert by

Bonfyre, CXM, Randstad, Userlane, TribePad, CareerCake, SalesTrip & Sage

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“Gethin is leading a revolution to improve the Employee Experience”

Gemma Godfrey, The Apprentice US’ advisor to Arnold Schwarzenegger

“If you want to know about Employee Engagement, Gethin has long been a name that’s worth seeking out online”

Incentive & Motivation Magazine

“A great read and a great message to the world”

Ben Whitter, Founder, World Employee Experience Institute

Lotus Winner 2019

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Sli.do Question

Do you currently use AI in any part of your employee experience?

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The Golden Age

  • f AI
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AI adoption now at 72%

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Lots of AI isn’t AI at all

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Next year, AI will generate 2.8m jobs while replacing 1.8m

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AI is Improving the Employee Experience

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No more cookie cutting

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AI and Recruitment 67% of candidates worry about AI making hiring decisions But AI isn’t here to replace the work of recruiters, its here to simplify it

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AI and Recruitment Recruitment requires nurturing relationships But it also requires lots of admin and repetitive tasks

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AI and wellbeing Decision making Early detection Accurate diagnosis

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AI and Financial wellbeing Identifying potential saving opportunities Objective decision making

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Sli.do Question

Which of the following areas of the employee experience do you think AI will have the biggest impact on?

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Tech Creep:

The Trouble With AI

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60% of the public are opposed to the use of automated decision- making in recruitment as well as in criminal justice.

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Removing Bias in AI

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“It’s a day that’s here… and it’s putting a significant strain on how the judiciary goes about doing things”

  • John G Roberts Jnr, Chief Justice,

United States of America

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Correctional Offender Management Profiling for Alternative Sanctions

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  • Joy Buolamwini, MIT
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It’s happening in HR too…

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Removing AI Bias in HR and Reward

  • Remove historical bias in the training data –

e.g. age and IP assumptions

  • Diversify your HR & Reward team – in order to

remove biased data, the teams who pull this data together need to be diverse

  • Think about the end users regularly – design

AI not just for simplification and time saving

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Removing AI Bias in HR and Reward

  • Remove historical bias in the training data –

e.g. age and IP assumptions

  • Diversify your HR & Reward team – in order to

remove biased data, the teams who pull this data together need to be diverse

  • Think about the end users regularly – design

AI not just for simplification and time saving

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The era of AI: Re-thinking Data Privacy

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  • f consumers say their

concerns over data are increasing

73%

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“GDPR places severe restrictions on the use

  • f artificial intelligence

and machine learning”

  • Brookings Institute

GDPR 7 basic principles

  • Lawfulness, fairness

and transparency.

  • Purpose limitation.
  • Data minimisation.
  • Accuracy.
  • Storage limitation.
  • Integrity and

confidentiality.

  • Accountability.
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“Meaningful information of the logic involved”

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Emerging AI : Reward & Benefits

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Smart speakers in every…

Home Car TV Hotel Room Drive Through …Employee desk?

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Huge potential …

Booking meetings/rooms Notifications Company news Checking schedules Running reports Automated skills Answering HR questions Benefit queries…?

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AI is changing employee benefits

Helping employees make decisions easier and quicker. From finding what they are looking for, to recommending benefits, distilling information down into smaller, digestible chunks.

?

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Final Thoughts…

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  • Point AI technology at the right solution
  • Choose vendors who understand

algorithmic bias

  • Ask yourself would it be considered fair if

people found out how you were using the data or technology?

  • Plan to ensure fairness and accuracy
  • assign ownership
  • Build diverse teams
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Questions?

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