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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.
Plos One
|April 24, 2024
Summary
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.
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.
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