Ethical Considerations in AI-Driven Predictive Analytics: Addressing Bias and Fairness Issues
Keywords:
artificial intelligence, predictive analytics, business forecasting, decision makingAbstract
"Artificial Intelligence (AI) has become instrumental in reshaping business forecasting and decision-making processes. This study delves into the integration and impact of AI-driven predictive analytics systems within these domains. Through qualitative and quantitative analysis, the research assesses the deployment of AI-powered predictive analytics for enhancing business forecasting and decision-making capabilities. Results demonstrate improved accuracy in predictions, faster decision cycles, and enhanced strategic insights. However, challenges related to data quality and interpretability of AI-driven models also surface. These findings underscore the evolving role of AI in augmenting predictive analytics and decision-making processes in business contexts. The discussion explores future directions to address issues of model transparency and trust as AI adoption accelerates.
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