AI in Decision Making and Managerial Ethics
Keywords:
AI, Decision making, Managerial Ethics, Data Collection, EfficiencyAbstract
AI in decision making and Managerial ethics is one of the emerging issues that are mandatory in every organization. Though AI is not applicable still in every organization, but the way technology is updating in every single day, this concept has to be taken in mind as it will be the need of the hour very soon.
AI in decision-making boosts efficiency by analyzing huge datasets for insights, but creates managerial ethics challenges around bias, accountability, clarity, and human oversight, requiring frameworks for responsible use, bias mitigation (fairness principles), clear responsibility (accountability), explainable models (transparency), and constant human review to ensure AI serves as a tool, not a replacement for judgment, building trust and avoiding negative societal impacts like job loss or inequality.
By automating data collection, analysis, and reporting, AI enables decision-makers to access relevant information quickly and easily, eliminating the need for manual data gathering and allowing teams to focus on higher-value tasks.
References
Commentaries on OECD Principles and global AI governance.
Guides to the NIST AI RMF and organizational governance practices.
IJBPCS / related journals. “AI-powered decision-making: balancing automation and human judgment in corporate governance.”
Infeb / related outlets. “The impact of AI implementation on business ethics: algorithmic bias, transparency, responsibility, privacy, autonomy.”
NIST. “AI Risk Management Framework (AI RMF 1.0).” 2023.
OECD. “AI Principles: Shaping a human-centric approach to artificial intelligence.” 2019/2024.
REST Publisher and similar sources on “Ethics of AI decision making in business.”
UNESCO. “Recommendation on the Ethics of Artificial Intelligence.”
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