AI and Big Data: New Horizons in Tax Awareness and Evasion Detection
Abstract The technological tools of Artificial intelligence and Big Data Analytics are converting the operational structure of taxation process and increasing the awareness related to the regulations of taxation process. The study of this research identifies or determines the the way these advance tools and technologies are being utilized in the world of taxation for improving the transparency of financial operations and estimating the suspicious activities and frauds present in the tax filing operations. There will be both secondary and primary data collection method utilized to assess the contribution of these technologies of AI and Big Data in the global picture of taxation procedures. There will significant insights provided in this study about the innovative processes utilized by the taxation authorities of other countries in the process of incorporating these advanced technologies in their operational structure. The study will define the potential of these technologies in decreasing tax-related fraud, increasing the collection of revenue, and developing trust between the general taxpayers and the government. In accordance to the new age of technological advancements and frauds related to the systems and regulations the study will provide significant future opportunities for the implementation of AI and Big Data Analytics. These opportunities will be provided as per the global viewpoints of these systems and its effectiveness on the tax regulatory authorities. Asper the topic of the study it will also show the analyzation results of the collected primary data from the participant who have significant insight in the regulatory system.
Institutions
- Mahatma Phule Krishi Vidyapeeth (IN)
- Sanskriti Samvardhan Mandal (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-31
- DOI
- https://doi.org/10.5281/zenodo.15004623
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00