Abstract
This paper discusses the important debate concerning the use of AI in decision-making. While AI penetration is unprecedented, its use in several areas of our lives and society brought value, but also posited challenges. Therefore, we discuss the pros and cons of the use of AI in decision-making. The debate over whether AI should be used in decision-making is multifaceted. Proponents argue that AI can process vast amounts of data quickly and accurately, leading to more informed and objective decisions. AI systems can identify patterns and insights that might be missed by human analysts, potentially improving efficiency and outcomes. However, critics raise concerns about misuse, bias, and hallucinations, in addition to ethical implications in AI algorithms. Additionally, over-reliance on AI could lead to a reduction in critical thinking and human oversight. Ultimately, the debate centers on finding a balance between leveraging AI's capabilities and ensuring ethical, transparent, and accountable decision-making.
Recommended Citation
Elragal, Ahmed; Amin, Ahmed; and Elgendy, Nada, "WOULD AI LEAD TO BETTER DECISIONS OR WORSE DECISION-MAKERS?" (2025). ECIS 2025 Proceedings. 1.
https://aisel.aisnet.org/ecis2025/panels/panels/1
WOULD AI LEAD TO BETTER DECISIONS OR WORSE DECISION-MAKERS?
This paper discusses the important debate concerning the use of AI in decision-making. While AI penetration is unprecedented, its use in several areas of our lives and society brought value, but also posited challenges. Therefore, we discuss the pros and cons of the use of AI in decision-making. The debate over whether AI should be used in decision-making is multifaceted. Proponents argue that AI can process vast amounts of data quickly and accurately, leading to more informed and objective decisions. AI systems can identify patterns and insights that might be missed by human analysts, potentially improving efficiency and outcomes. However, critics raise concerns about misuse, bias, and hallucinations, in addition to ethical implications in AI algorithms. Additionally, over-reliance on AI could lead to a reduction in critical thinking and human oversight. Ultimately, the debate centers on finding a balance between leveraging AI's capabilities and ensuring ethical, transparent, and accountable decision-making.
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