Risks and Pitfalls in Using AI for Predictive Market Insights and Strategies for Mitigation

Author(s)	Prabhavathi Matta
Country	USA
Abstract	Artificial intelligence (AI) is revolutionizing predictive market insights by processing vast datasets and uncovering actionable trends. However, deploying AI for predictive analytics comes with significant risks and challenges, including data biases, lack of transparency, model overfitting, ethical concerns, and dynamic market conditions. This paper explores these risks in depth, discusses their implications, and presents detailed strategies to mitigate them. It also provides practical examples of how organizations can address these challenges to ensure reliable, ethical, and effective AI deployment.
Keywords	Artificial Intelligence, Predictive Analytics, Market Insights, Risks, Bias, Model Transparency, Mitigation Strategies, Ethical AI, Overfitting, Dynamic Markets
Field	Engineering
Published In	Volume 2, Issue 5, September-October 2020
Published On	2020-09-08
DOI	https://doi.org/10.36948/ijfmr.2020.v02i05.22232

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