Wednesday, January 3, 2024

IMPACT OF EMPLOYEE PERFORMANCE BY ARTIFICIAL INTELLIGENCE

 


IMPACT OF EMPLOYEE PERFORMANCE BY ARTIFICIAL INTELLIGENCE

 

 

 

 

 

 

Figure 01 Employee performance (Source, Mondy and Martocchio, 2016)


Artificial intelligence (AI) is changing the workplace quickly, and people are talking a lot about how it affects how well employees function. While some think AI has the ability to drastically improve employment, others worry that it will result in the loss of many jobs. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include Expert systems natural language processing, speech, recognition and Machine vision Data is the main heart of the AI assisted employee performance. (Hughes et.al, 2019)

AI CATEGORIES

1. Strong AI artificial intelligence which can replicate the cognitive abilities of the human brain .when there is a problem in the task it can use fuzzy logic to find the solution autonomously.

2. Weak AI- AI system is designed and trained to complete a specific task.






 

Figure 02 Application of AI (Source ,Du-Harpur et al.,2020)

APPLICATION OF AI IN EMPLOYEE PERFORMANCE

Improving Management of Performance:

Ø  Real-time performance tracking: AI-powered solutions are able to measure employee performance in real-time, giving constant feedback and insights, by analyzing data from multiple sources, including email, project management systems, and customer contacts.

Ø  Personalized goal setting: AI is able to assess each worker's unique talents, limitations, and career ambitions in order to recommend growth plans and goals that are specifically tailored to them.

Ø  Objective feedback and reviews: By evaluating data-driven metrics and offering unbiased input, AI systems may eliminate subjectivity from performance appraisals.

Increasing Efficiency and Productivity:

Ø  Automation of repetitive chores: Employees' time can be better spent on more strategic projects by using AI-powered bots to handle repetitive tasks like data entry, meeting scheduling, and repetitive report generation.

Ø  Predictive analytics: AI can examine data to identify possible obstacles and offer proactive fixes, which reduces delays and increases productivity.

Ø  Intelligent workflow optimization: By analyzing workflow patterns and pinpointing opportunities for development, AI may enhance teamwork and project management.

 

Customized Education and Training:

Ø  Adaptive learning platforms: AI-driven systems are able to provide customized learning paths and targeted feedback based on each learner's unique learning preferences and performance requirements.

Ø  Identification and recommendation of skill gaps: AI is capable of analyzing employee data to pinpoint areas of weakness and suggest appropriate courses of study or other resources for individualized skill development.

Ø  Support for coaching and mentoring: AI-powered virtual mentors can offer continuous direction and assistance, as well as timely counsel and educational opportunities.

 

Enhanced Morale and Employee Engagement:

Ø  Recognition and awards: AI is able to recognize and recommend performance-based awards or recognition to high-achieving staff members, which will increase their motivation and morale. Personalized feedback and communication: AI is able to assess employee mood and provide to managers tailored communication plans that build trust and engagement.

Ø  Optimizing work-life balance: AI systems may assist in managing schedules and workloads, ensuring that workers take appropriate breaks and avoiding burnout, which results in a more contented and effective staff.

 

ROLE OF AI IN EMPLOYEE PERFORMANCE

  • Ø  Automated performance review
  • Ø  Continuous real-time assessments
  • Ø  Learning and Development
  • Ø  Remove Bias
  • Ø  Improve the quality of talent management

 

ADVANTAGES OF AI IN EMPLOYEE PERFORMANCE

Enhanced productivity:

Ø  AI can automate a lot of monotonous jobs, giving workers more time to concentrate on more strategic and innovative work. AI-powered Chabot’s, for instance, may respond to questions from customers, while AI-powered scheduling applications can make the most of employee schedules.

Better decision-making:

Ø  AI is capable of analyzing enormous volumes of data to spot trends and patterns that people might overlook. This can assist companies in hiring and employing more effectively as well as developing and selling their products.

Enhanced learning and development:

Ø  AI has the capacity to tailor learning opportunities for every worker, giving them the precise instruction and guidance they require to raise performance and skill levels.

Decreased prejudice:

Ø  By making objective judgments based on data rather than subjective opinions, AI can assist in removing bias from the recruiting and promotion process.

Enhanced morale among staff members:

Ø  Relieving employees of tiresome duties and giving them the freedom to perform at their highest level can boost morale and increase job satisfaction.

DISADVANTAGES OF AI IN EMPLOYEE PERFORMANCE

  • It’s very Expensive
  • Requires deep technical experts
  • Limited supply of qualified workers to build AI tools
  • Lack of ability
  • Less human involvement
  • Reduce Accuracy and reliability 

CONCLUSION

Artificial Intelligence provide the better opportunity for the organization to remove the drawbacks in the employee performance and increase the intelligence in performance.

 

REFERENCES

Du‐Harpur, X., Watt, F.M., Luscombe, N.M. and Lynch, M.D., 2020. What is AI? Applications of artificial intelligence to dermatology. British Journal of Dermatology183(3), pp.423-430.

Hughes, C., Robert, L., Frady, K. and Arroyos, A., 2019. Artificial intelligence, employee engagement, fairness, and job outcomes. In Managing Technology and Middle-and Low-skilled Employees. Emerald Publishing Limited.

Mondy, R. W., & Martocchio, J. J. (2016). Human resource management (14th ed.). Boston: Pearson.

 Strohmeier, S. and Piazza, F., 2015. Artificial intelligence techniques in human resource management—a conceptual exploration. In Intelligent techniques in engineering management (pp. 149-172). Springer, Cham.


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