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ZOHAIB SHAFIQ
SHAHAB DIN
MAHEEN ALI
ZAIN UL ABIDEEN
Contents
• Introduction to Adoption Factors of AI on HRM
• Cost
• Complexity
• Security
• Employee Acceptance
• Conclusion
Introduction to
Adoption Factors
of AI on HRM
• Adoption of AI in HRM is growing
rapidly, as it helps to automate and
streamline many HR tasks. AI can be
used to improve recruitment,
employee onboarding, training, and
performance management. It also
helps to reduce errors and improve
accuracy in data analysis.
• However, there are certain factors that
need to be considered before
adopting AI in HRM. These include
cost, complexity, security, and
employee acceptance.
The cost of AI adoption is one of the most
important factors to consider. AI
technology is expensive, and there are
additional costs associated with
implementation, maintenance, and training.
It is important to weigh the potential
benefits of AI against the costs to
determine if it is worth the investment.
Organizations should also consider the cost
of not adopting AI. As AI technology
becomes more commonplace, companies
that do not adopt it may be at a competitive
disadvantage.
Cost
• AI technology is complex and requires a certain level of expertise to implement and maintain.
Organizations need to consider the resources available to them and decide if they have the necessary
skills and knowledge to implement and manage AI.
• Organizations should also consider the complexity of the AI technology they are considering. Some
AI technologies are more complex than others, and may require more resources and expertise to
implement and maintain.
Complexity
Security
The security of AI technology is an important factor
to consider when adopting AI in HRM. AI systems
need to be secure to protect sensitive employee data
and to ensure that the system is not vulnerable to
malicious attacks.
Organizations should consider the security features
of the AI technology they are considering and
ensure that it meets the security requirements of
their organization.
Employee Acceptance
The acceptance of AI technology by employees is another important factor to
consider. AI technology can be disruptive and can cause anxiety and resistance
among employees. Organizations should ensure that employees are properly
informed and trained on the use of AI technology.
Organizations should also consider ways to address any concerns or resistance
from employees. This could include providing additional training and support,
or creating an open dialogue with employees to ensure their acceptance of AI
technology.
Conclusion
Adoption of AI in HRM is becoming increasingly
popular, as it helps to automate and streamline many
HR tasks. However, there are certain factors that need
to be considered before adopting AI in HRM, such as
cost, complexity, security, and employee acceptance.
Organizations should carefully consider these factors
to ensure that AI technology is properly implemented
and accepted by employees. This will help to ensure
that the organization can maximize the benefits of AI
technology in HRM.
Thank You

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Adoption of ai in HRM strategies.pptx

  • 2. Contents • Introduction to Adoption Factors of AI on HRM • Cost • Complexity • Security • Employee Acceptance • Conclusion
  • 3. Introduction to Adoption Factors of AI on HRM • Adoption of AI in HRM is growing rapidly, as it helps to automate and streamline many HR tasks. AI can be used to improve recruitment, employee onboarding, training, and performance management. It also helps to reduce errors and improve accuracy in data analysis. • However, there are certain factors that need to be considered before adopting AI in HRM. These include cost, complexity, security, and employee acceptance.
  • 4. The cost of AI adoption is one of the most important factors to consider. AI technology is expensive, and there are additional costs associated with implementation, maintenance, and training. It is important to weigh the potential benefits of AI against the costs to determine if it is worth the investment. Organizations should also consider the cost of not adopting AI. As AI technology becomes more commonplace, companies that do not adopt it may be at a competitive disadvantage. Cost
  • 5. • AI technology is complex and requires a certain level of expertise to implement and maintain. Organizations need to consider the resources available to them and decide if they have the necessary skills and knowledge to implement and manage AI. • Organizations should also consider the complexity of the AI technology they are considering. Some AI technologies are more complex than others, and may require more resources and expertise to implement and maintain. Complexity
  • 6. Security The security of AI technology is an important factor to consider when adopting AI in HRM. AI systems need to be secure to protect sensitive employee data and to ensure that the system is not vulnerable to malicious attacks. Organizations should consider the security features of the AI technology they are considering and ensure that it meets the security requirements of their organization.
  • 7. Employee Acceptance The acceptance of AI technology by employees is another important factor to consider. AI technology can be disruptive and can cause anxiety and resistance among employees. Organizations should ensure that employees are properly informed and trained on the use of AI technology. Organizations should also consider ways to address any concerns or resistance from employees. This could include providing additional training and support, or creating an open dialogue with employees to ensure their acceptance of AI technology.
  • 8. Conclusion Adoption of AI in HRM is becoming increasingly popular, as it helps to automate and streamline many HR tasks. However, there are certain factors that need to be considered before adopting AI in HRM, such as cost, complexity, security, and employee acceptance. Organizations should carefully consider these factors to ensure that AI technology is properly implemented and accepted by employees. This will help to ensure that the organization can maximize the benefits of AI technology in HRM.