Vol. 2 No. 1 (2022): Human-Computer Interaction Perspectives
Articles

Exploring the Role of AI and ML in Workers' Compensation Risk Management

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  • Pankaj Zanke
Pankaj Zanke
Senior Data Analyst, KFORCE, Atlanta, GA, USA
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Published 27-03-2022

Keywords

  • AI,
  • Machine Learning,
  • Workers' Compensation,
  • Risk Management,
  • Injury Prediction,
  • Return-to-Work Programs,
  • Fraud Detection,
  • Occupational Health,
  • Safety,
  • Cost Savings
    • ...More
    Less

How to Cite

[1]
P. Zanke, “Exploring the Role of AI and ML in Workers’ Compensation Risk Management”, Human-Computer Interaction Persp., vol. 2, no. 1, pp. 24–44, Mar. 2022.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

This paper investigates the pivotal role of Artificial Intelligence (AI) and Machine Learning (ML) in revolutionizing workers' compensation risk management practices. Employing advanced AI and ML technologies has enabled the development of sophisticated tools for predicting workplace injuries, facilitating efficient return-to-work programs, and enhancing fraud detection mechanisms. By leveraging large datasets and complex algorithms, these technologies offer invaluable insights into risk assessment and mitigation strategies, ultimately leading to improved safety outcomes and cost savings for employers. This research explores the various applications of AI and ML in workers' compensation risk management and highlights their potential to transform traditional approaches in ensuring occupational health and safety.

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References

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