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eXplainable Artificial Intelligence (XAI) for improving organisational regility.

Niusha Shafiabady1, Nick Hadjinicolaou2, Nadeesha Hettikankanamage3

  • 1Faculty of Science and Technology, Charles Darwin University, Haymarket, New South Wales, Australia.

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Summary
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Organizations use Artificial Intelligence (AI) to boost agility and resilience. This study integrates eXplainable AI (XAI) techniques like SHAP to reveal decision-making factors, enhancing trust and guiding improvements for business competitiveness.

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Area of Science:

  • Business Management
  • Artificial Intelligence
  • Data Science

Background:

  • The COVID-19 pandemic accelerated the need for organizational agility and resilience.
  • Artificial Intelligence (AI) is increasingly adopted to enhance business adaptability and decision-making.
  • Lack of agility leads to significant business risks, including financial losses and market share reduction.

Purpose of the Study:

  • To investigate the integration of eXplainable Artificial Intelligence (XAI) in predicting organizational agility and resilience.
  • To identify key features influencing organizational agility and resilience using XAI techniques.
  • To enhance transparency and trust in AI-driven decision-making for strategic business improvements.

Main Methods:

  • Utilized previous research on AI for organizational agility prediction.
  • Integrated eXplainable Artificial Intelligence (XAI) methods, specifically Shapley Additive Explanations (SHAP).
  • Analyzed feature importance to understand AI model decision-making processes.

Main Results:

  • Identified critical features that significantly impact organizational agility and resilience predictions.
  • Demonstrated the capability of XAI techniques to demystify AI model decision-making.
  • Provided insights into the factors driving organizational agility and resilience.

Conclusions:

  • eXplainable AI (XAI) is crucial for understanding and improving AI's role in enhancing organizational agility and resilience.
  • Identifying key predictive features guides organizations in focusing efforts for strategic improvement.
  • XAI fosters ethical AI deployment by ensuring transparency, interpretability, and trust in AI systems.