International Journal For Multidisciplinary Research

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Impact of Artificial Intelligence on Decision-making in Organisations

Author(s) P. Chandana charitha, B. Hemaraju
Country India
Abstract The use of artificial intelligence (AI) in decision-making processes has emerged as a key organizational development driver in the modern, dynamic commercial environment. This case study investigates the broad implications, difficulties, and transformative possibilities of intelligence in corporate decision-making.
We discover how applying data analysis, pattern recognition, and artificial intelligence can increase decision-making and accuracy using an integrated strategy. Real-world examples from a variety of industries demonstrate how AI-driven decision-making can boost productivity, lower risk, and encourage innovation.
However, as businesses use AI to its full potential, ethical issues become more crucial.
These days, factors including algorithmic bias, data privacy worries, and the demand for human attention must be carefully considered. This paper discusses this intricacy and emphasizes the significance of integrating ethical AI.
got an endorsement from 250 workers utilizing a Google Docs study paper. The results illustrated the advantages and difficulties experienced by professionals directly involved in AI-driven decision-making.
Finally, this study shows how AI has advanced beyond efficiency to develop models for business decision-making.
Organizations may overcome obstacles and maximize their potential to advance to a time when AI and people will share a common intelligence in decision-making by understanding the function and ethics of AI.
Keywords Artificial Intelligence,Decision-Making,Organizational development
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 4, July-August 2023
Published On 2023-08-09
Cite This Impact of Artificial Intelligence on Decision-making in Organisations - P. Chandana charitha, B. Hemaraju - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.5172
DOI https://doi.org/10.36948/ijfmr.2023.v05i04.5172
Short DOI https://doi.org/gskxcs
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