Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors
DOI:
https://doi.org/10.4314/ggb6wr66Keywords:
Human-AI collaboration, Decision-making, Critical sectors, Artificial intelligence, Predictive analyticsAbstract
The integration of Artificial Intelligence (AI) into critical sectors such as healthcare, finance, security, and manufacturing has transformed decision-making processes. Human-AI collaboration leverages the strengths of both human intuition and machine intelligence to enhance accuracy, efficiency, and reliability in decision-making. AI systems provide data-driven insights, predictive analytics, and automation, while human expertise ensures ethical considerations, contextual understanding, and adaptability. This synergy improves risk assessment, crisis management, and strategic planning, ultimately leading to more informed and effective decisions. However, challenges such as trust, transparency, and bias in AI models must be addressed to maximize the benefits of human-AI collaboration. This paper explores the impact, benefits, and challenges of integrating AI with human decision-making across critical sectors.
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