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Future of Work and Work Systems: Machine Learning and Artificial Intelligence for Designing Smart, Safe, Healthy and Ethical Work in Financial Services

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Human-Automation Interaction

Abstract

New technologies are being introduced to support the future of work in Financial Services (FS). This paper reports on human factors action research pertaining to the specification of a ‘proof of concept’ for a future ‘Intelligent Work’ (IW) system—predicated on advances in business process automation, artificial intelligence, and machine learning. It is argued that IW technologies should enable work that is smart, healthy, safe, and ethical. The implementation of IW technologies will be underpinned by positive change in relation to supporting wellbeing culture in financial services, and the integration of previously diverse processes and functions pertaining to business process management, customer services, human resources, occupational health and safety/health protection and health promotion.

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Correspondence to Joan Cahill .

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Appendices

Appendices

1.1 Personae and Scenarios

#

Role

Sub role

Personae

Scenario

1

Operations manager

N/A

Michelle

Michelle reviews team productivity. Michelle forecasts workload for next week and reassigns team priorities and work items in line with SL schedule. Michelle discusses work plan with Shona and other team supervisors. This week, need to involve third party company—new team members

2

Team Supervisor

N/A

Shona

Shona assesses team workload for today. Shona onboards Jenny. Shona allocates work to the team—Bob, Jenny & Sam. Shona flags issues with Bob’s performance with Michelle & Paul

3

Team Members

Human role 1—established in team

Bob

Bob is working from home. Bob reviews job items for the day. Bob evaluates own performance. Bob starts work item and requests assistance

Human role 2—new in team

Jenny

Jenny is working with teams in different time zones. Jenny requests reconsideration of her weekly workload, following review of team assignments. Jenny evaluates her own performance

Human role 3—3rd Party

Sam

Sam is working for a third-party company in Poland. Sam is working on Shona’s assignments today

Robot: Team Member/basic tasks

Zari

Zari prompts Shona that Bob’s work is not done and takes over on task (with Bob permission)

Robot: Task assistant

Mike

Mike provides task support in relation to a mortgage application for Jenny

4

Customer

N/A

Clare

Customer submits enquiry information. Bob processes query. Zari completes query

5

HR Resource Manager

N/A

Paul

Onboarding Jenny. Wellbeing and Performance Check-in with Bob

6

Change Manager

N/A

Evelyn

Managing transition to Allocate (Gen 2) and My Work

7

CEO

N/A

Kirk

Kirk reviews business performance

8

Regulator

N/A

Silvia

Oversight on claims process—regulatory context

1.2 Intelligent Work States (Team Member)

1: States to promote/support

2: States to manage/mitigate/reduce

3: States to avoid

Understands role and how links to business goals

 

Lack of understanding of role and how links to business goals

Understanding of work schedule and deadlines

 

Lack of understanding of work schedule and deadlines

Identity in work

 

Loss of identity. Objectification of worker

Professionalism

Challenges to professionalism

Lack of professionalism

Autonomy in work

 

Loss of autonomy

Feel in control of work and the workday (autonomy and flexibility over the timing, location, pace, and order of work)

 

Loss of control

Confidence in ability to self-manage work and workload

  

Flow and attention

Distraction

Lost or confused

Wellness in work

Psychological wellbeing in work

Working overtime/long hours

Working in continually high stress situations

Work related stress (WRS)

Anxiety in work

Pressure

Poor mental health in work

Worsening of health in work

Work contributing to health problems

Poor mental health

Presenteeism

Absenteeism

Self-management of health in work

Self-efficacy

 

Post-neurotic subject at work

Flow and attention

Distraction

Lost or confused

Wellness in work

Psychological wellbeing in work

  

Fit for work (fatigue levels)

Fatigue

Working overtime/long hours

Exhaustion & Burnout

Work/life balance and management of home/work interface

 

No work/life balance

Work negative impact on home life

Work/home conflict

Effective performance

Performance errors

Performance Errors

Safe performance

Unsafe behaviour

Near misses (safety events)

Minor safety events

Safety events

Incidents and accident in work

Work satisfaction

Work dissatisfaction

Attrition

Motivation

Engagement in work

Positive attitude to work

Wake up—want to go to work!

Lack of engagement with work

Demotivated

Active non engagement with work

Toxic employee

Delivering quality work

 

Mistakes and/or poor-quality work

Valued member of team

 

Not accepted in team

Not wanted in team

Team members avoid

Teamwork

Poor teamwork

Team disputes and unhealthy teamwork

Good communication with team supervisor about status of work/workload

Not putting hand up if problem

 

Sense of purpose and meaning in work

Sense of value

Lack of purpose/meaning/value

Loss of purpose/meaning/value

Sense of belonging

Not feeling in a team

Social isolation

Not feeling in a team

Social isolation

Dignity

 

Objectification of worker/Commodity

In control

 

Post-neurotic subject at work—monitored and objectified by employer

Nurtured/supported—role, career path and progression

 

No support for progression

Growth and continuous learning

Self-realization in work

 

No progress

Inertia

Feeling listened to

 

Not listened too

Good customer service

 

Poor customer service

Trust

Cynicism, lack of trust and/or loss of trust

Loss of trust

Acceptance of work technologies

  

Understanding of who has access to performance information and how used

  

Understanding of who has access to health information and how used

  

Consent to work performance information to be tracked

  

Consent to health information to be tracked while in work

  

Peace of mind/job security

 

Job instability and insecurity

Anxiety

1.3 Intelligent Work States (Team Supervisor)

1: States to promote/support

2: States to manage/mitigate/reduce

3: States to avoid

Understands role and how links to business goals

Poor understanding of role

Lack of understanding of role and how links to business goals

Understanding of work schedule and deadlines

Poor understanding of work schedule and deadlines

Lack of understanding of work schedule and deadlines

Understanding of work priorities

Poor understanding of work priorities

Lack of understanding of work priorities

Understanding of forecasted assignments and workload for team/team members

Poor understanding of forecasted assignments and workload for team/team members

Lack of understanding of forecasted assignments and workload for team/team members

Understanding of status of current work- on track/not on track to meet deadlines

Poor understanding of status of current work- on track/not on track to meet deadlines

Lack of understanding of status of current work- on track/not on track to meet deadlines

Understanding of status of team members—workload, wellbeing, fatigue, MH in work

Poor understanding of status of team members—workload, wellbeing, fatigue, MH in work

Lack of understanding of status of team members—workload, wellbeing, fatigue, MH in work

Understanding of team members competency, skills, expertise

Poor understanding of team members competency, skills, expertise

Lack of understanding of team members competency, skills, expertise

Understanding of balance of work for team members—workload, interesting tasks, mundane tasks etc

Poor understanding balance of work for team members—workload, interesting tasks, mundane tasks etc

Lack of understanding of balance of work for team members—workload, interesting tasks, mundane tasks etc

Listening to team members—if problems, if need help

Poor or weak listening to team members—if problems, if need help

Lack of listening to team members—if problems, if need help

Responding to team members—if problems, if need help

Poor response to team members—if problems, if need help

Lack of response to team members—if problems, if need help

1.4 High level Functions and Wellbeing/Workplace Health

1: Maintaining wellbeing

2: Preventing WRS/wellbeing problems

3: Managing worker problems/challenges

Provide task support information

Nudge managers—if somebody overworked- contribute to stress

Reporting/analytics on problems at team/individual level

Smart allocation-right work, competency, right level of diversity/complexity

Smart allocation—deal with peaks and troughs

Integration of reporting with smart allocation

Nudge team members to get help—having work related or personal issues

  

Nudge breaks

  

Nudge on social interaction

  

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Cahill, J., Howard, V., Huang, Y., Ye, J., Ralph, S., Dillon, A. (2023). Future of Work and Work Systems: Machine Learning and Artificial Intelligence for Designing Smart, Safe, Healthy and Ethical Work in Financial Services. In: Duffy, V.G., Lehto, M., Yih, Y., Proctor, R.W. (eds) Human-Automation Interaction. Automation, Collaboration, & E-Services, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-031-10780-1_1

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