Submitted:
08 January 2025
Posted:
09 January 2025
You are already at the latest version
Abstract
Keywords:
I. Introduction
II. Accounting and Economic Growth
A. Facilitating Capital Allocation
B. Enabling Business Planning and Decision-Making
III. Corporate Governance and Ethical Standards
A. Ensuring Transparency and Accountability
B. Ethics in Accounting Practices
VI. Governmental Functioning and Public Finance
A. Taxation and Revenue Management
B. Public Project Evaluation and Budgeting
C. Comparative Analysis of Accounting Systems in Socialist and Capitalist Economies
D. Implications for Global Economic Systems
V. Social Equity and Inclusive Development
A. Triple Bottom Line Accounting
B. Empowering Marginalized Communities
VI. Accounting in the Age of AI, AGI, and ASI
A. Transforming Accounting Practices
B. Impact on Global Economic Systems
C. UBI and Financial Management
VII. Conclusion
References
- Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
- Deloitte (2023). “Ethical Accounting Standards: A Global Perspective.” Retrieved from https://www2.deloitte.com.
- Ke, Z., Xu, J., Zhang, Z., Cheng, Y., & Wu, W. (2024). A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm. arXiv preprint arXiv:2412.07223.
- HM Revenue & Customs (2023). “Annual Report on AI-Enhanced Tax Compliance.” UK Government Portal. Retrieved from https://www.gov.uk/hmrc.
- “AI Seems to Be better at Distributing Wealth Than Humans Are, Study Hints” by Peter Dockrill on ScienceAlert on 04 July 2022 https://www.sciencealert.com/ai-could-be-be-better-at-distributing-wealth-experiment-suggests.
- Yizhao Hong. Study on the Maximum Level of Disposable Plastic Product Waste. Sustainability. 2023; 15 (12):9360. [CrossRef]
- Published on 31 May 2014 on BMC Health Services Research (ISSN: 1472-6963) Cashing In: cost-benefit analysis framework for digital hospitals.”.
- Patagonia (2023). Sustainability Report: Triple Bottom Line in Action. Retrieved from https://www.patagonia.com.
- Patagonia’s Path to Carbon Neutrality by 2025 by Daniel M. Kammen, Paul Hendricks, Seren Pendleton-Knoll, Vincent Stanley, Robert Strand on Harvard Business Review issued on April 01, 2018.
- Yu, Q., Ke, Z., Xiong, G., Cheng, Y., & Guo, X. (2024). Identifying Money Laundering Risks in Digital Asset Transactions Based on AI Algorithms. arXiv preprint arXiv:submit/6074659,submitted on 17 Dec 2024.
- Sustainable Trailblazing: A Comprehensive Analysis of Patagonia’s Corporate Social Responsibility Initiatives and their Ethical Implications by Steven Craig Miller (Belhaven University) on November 11, 2023.
- Liu, D., & Jiang, M. (2024). Distance Recomputator and Topology Reconstructor for Graph Neural Networks. arXiv preprint arXiv:2406.17281.
- “The Impact of AI on Accounting Practices.” Journal of Financial Technology, 2023.
- Luo, D. (2024). Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision Processes. arXiv preprint arXiv:2410.17696.
- Liang, X., & Chen, H. (2019, August). HDSO: A High-Performance Dynamic Service Orchestration Algorithm in Hybrid NFV Networks. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 782-787). IEEE.
- Ke, Z., & Yin, Y. (2024). Tail Risk Alert Based on Conditional Autoregressive VaR by Regression Quantiles and Machine Learning Algorithms. arXiv preprint arXiv:2412.06193.
- World Economic Forum. (2023). Universal Basic Income: Challenges and Opportunities in the Age of Automation. Retrieved from https://www.weforum.org.
- Zhang, Y., Wang, F., Huang, X., Li, X., Liu, S., & Zhang, H. (2024). Optimization and application of cloud-based deep learning architecture for multi-source data prediction. arXiv preprint arXiv:2410.12642.
- F. Zhang, G. Chen, H. Wang, C. Zhang. CF-DAN: Facial-Expression Recognition Based on Cross-Fusion Dual-Attention Network. Computational Visual Media, 2024, . [CrossRef]
- Hu, Z., Yu, R., Zhang, Z., Zheng, H., Liu, Q., & Zhou, Y. (2024). Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms. arXiv preprint arXiv:2412.18202.
- Li, X., & Liu, S. (2024). Predicting 30-day hospital readmission in medicare patients: Insights from an lstm deep learning model. medRxiv, 2024-09.
- Xie, T., Tao, S., Li, Q., Wang, H., & Jin, Y. (2022). A lattice LSTM-based framework for knowledge graph construction from power plants maintenance reports. Service Oriented Computing and Applications, 16(3), 167-177. [CrossRef]
- Zhao, P., & Lai, L. (2024). Minimax Optimal Q Learning with Nearest Neighbors. IEEE Transactions on Information Theory. [CrossRef]
- Chen, H., Shen, Z., Wang, Y., & Xu, J. (2024). Threat Detection Driven by Artificial Intelligence: Enhancing Cybersecurity with Machine Learning Algorithms. [CrossRef]
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