Performance Management: AI and Robotics in HR at Holmes Institute

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AI Summary
This report investigates the effects of Artificial Intelligence (AI) and robotics on the Human Resources (HR) sector and several other industries. It begins by outlining the historical context of AI, from its inception to current projections, including the anticipated impact on employment across various sectors, such as self-driving cars, and the potential for job displacement. The report then delves into specific applications of AI and robotics, such as in the taxi industry, analyzing the implications for Uber drivers and the need for HR to adapt recruitment strategies to include skilled professionals. Further, it explores the use of AI in nursing, highlighting programs like TAVIE, and the challenges of integrating AI into healthcare practices. The report also examines the impact of AI on accounting, particularly through Robotic Process Automation (RPA), and its effect on traditional accounting roles. Finally, the report concludes with recommendations for HR departments to effectively manage these technological advancements, including the need for training, workforce planning, and strategic recruitment to prepare for the future of work.
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In 1956, John McCarthy presented the first proposal on
Artificial Intelligence.
Scientists predict 85% all the customer-based
encounters will be operated by robots.
Millions of people will be rendered jobless in the next
40 to 50 years.
INTRODUCTION
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In the year 1979, the first fully self-driven car known
Stanford Cart was built.
Tesla build their first autonomous car, the Model S, for
commercial purposes.
In the next 40 to 50 years, at least 70% of all the cars
on our roads will be self-driven
Over 1000 skilled engineers and computer
programmers to be employed by Tesla.
TAXI DRIVERS
SELF -DRIVEN TAXIS
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Uber has an estimated 82,000 licenced and verified taxi
drivers in Australia.
Majority of the Uber drivers are below the age of 25
years.
There was an increase in the number of accidents.
The greatest cause of the accidents to be poor driver
education and low driver experience.
TAXI DRIVERS
UBER
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HR to focus on recruitment of highly skilled labour.
The highly skilled labour includes the software
developers and engineers.
HR needs to reduce the number and recruitment of
semi-skilled labour.
TAXI DRIVERS
RECOMMENDATIONS
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José Côté spearheading an AI nursing program called
TAVIE(Ismail and Ali 2016).
It is convenient when handling patients with highly
contagious diseases.
The program still requires human assistance such as
monitoring and interpretation.
The program minimizes movement hence optimizes
efficiency(Jelenković and Barjaktarović 2016).
NURSE
AI AND ROBOTICS IN NURSING
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In Australia, over 30% of the female population are
nurses.
Several report on the negligence and incompetency of
some nurses
Nurses to take care of AI programs instead of the
patients.
NURSE
HUMAN NURSES
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HR to train the nurses on handling the AI program
effectively.
HR to create a compensation plan for nurses and
technical team.
This is because most of the AI nursing programs are
radioactive.
NURSE
RECOMMENDATION
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Emergence of AI systems such as Robotic Process
Automation (RPA) in accounting.
Reduction in the tedious work such as auditing.
Accountants now focus on profitable areas such as
analysis and client-counsel.
ACCOUNTANT
AI AND ROBOTICS IN ACCOUNTING
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Accountants used to be regarded as
untrustworthy and unreliable.
Data would be stored in large files.
They would sometimes get misplaced,
stolen or destroyed.
Data collection and compilation took a lot of
time and money (Birk et al. 2016)
ACCOUNTANT
TRADITIONAL ACCOUNTING
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HR to focus on training accountants on how to use AI
system such as RPA.
HR to recruit a technical team to monitor, secure and
repair these AI systems.
HR should have a 40 to 50 year reduction plan on the
recruitment of accountants(Iglesias 2016).
ACCOUNTANT
RECOMMENDATIONS
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Artificial intelligence and robotics has gained
popularity
It has been used to solve various issues
It fully involves the use of advanced form sof
technology
Conclusion
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Birk, T., McGrady, A., MacArthur, R. and Khuder, S. (2016). The
effects of massage therapy alone and in combination with other complementary
therapies on immune system measures and quality of life in human immunodeficiency
virus. The Journal of Alternative and Complementary Medicine, 6(5), pp.405-414.
Iglesias, M. (2016). The language tourism market system:
conceptualising language tourism. International Journal of Scientific
Management and Tourism, 2(1), pp.25-40.
Ismail, R. and Ali, M. (2016). Workplace Incivility a Hurdle in TQM
Practices Implementation in Higher Education Institutes of Balochistan. Journal
of Education and Practice, 7(16), pp.60-72.
Jelenković, Z. and Barjaktarović, L. (2016). The risk management
functions in the conditions of globalization: Case study of the Republic of Serbia.
Management: Journal of Sustainable Business and Management Solutions in
Emerging Economies, 21(79), pp.37-45.
References
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