Unveiling the Influence of Artificial Intelligence on Resource Management and Sustainable Development: A Comprehensive Investigation
Artificial Intelligence (AI) holds immense potential to reconstruct various facets of ability administration and contribute to tenable incident. However, its ratification raises important righteous considerations that must be forwarded to guarantee justice, transparency, and responsibility. This paper determines a inclusive exploration of AI’s influence on source administration and tenable development, trying allure implications across various subdivisions and rules. The study critically resolves the current countryside of AI enactment in human resource management (HRM) and allure impact on administrative adeptness and worker well-being. It more investigates AI’s duty in trying key challenges related to tenable happening, such as material preservation, friendly equity, and business-related progress. By inspecting existing article and practical evidence, this paper focal points the opportunities and challenges guide AI endorsement and offers understandings into strategies for optimizing effectiveness and impartiality with AI. Additionally, the study stresses the significance of righteous considerations in AI acceptance, containing algorithmic bias, data solitude, responsibility, and the moral implications of task displacement. Overall, this paper underscores the need for a equalized approach to AI enactment that maximizes allure benefits while mitigating potential risks, eventually donating to acceptable and equitable incident.
Authors
- Kawerinder Singh Sidhu (ORCID: https://orcid.org/0000-0002-8910-6279)
- Ashutosh Pandey (ORCID: https://orcid.org/0000-0002-3352-7453)
- Geetha Manoharan (ORCID: https://orcid.org/0000-0002-8644-8871)
- Rajesh Bhaskar Survase
- Roop Raj
- Meeta Joshi
Institutions
- Uttaranchal University (IN)
- Marwadi University (IN)
- Savitribai Phule Pune University (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icaccm61117.2024.11059226
- Citations
- 27
- Primary Topic
- Economic and Technological Innovation
- Type
- article
- Field-Weighted Citation Impact
- 13.55