Abstract
Impact investing, which aims to create social or environmental impact while generating financial returns, can be accelerated using artificial intelligence and blockchain. These tools enable better data collection, analysis, and utilization, as well as greater transparency and traceability of transactions. The benefits of these technologies for investors, businesses, and society, are numerous. They can contribute to poverty eradication by enabling more efficient resource distribution and facilitating access to financial services for disadvantaged populations. However, it is important to note the limitations of these technologies, such as the need for quality data and the need to prevent biases in AI. Overall, the AI-empowered blockchain model for impact investing acceleration is a promising approach to improving the efficiency, transparency, and accountability of impact investing. Ultimately, an ethical and responsible use of AI and blockchain can help accelerate the impact of investing and improve the lives of the most vulnerable people in the world.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Khalsa, J.: ESG, News and the power of Natural Language Processing (2021)
Halder, R.: Analysing the Impact of Artificial Intelligence in the Financial Sector. Bournemouth University, Department of Computing and Informatic (2022)
LaPointe, C., Fishbane, L.: The Blockchain Ethical Design Framework (2023)
Golić, Z.: Finance and artificial intelligence: The fifth industrial revolution and its impact on the financial sector. Zbornik radova Ekonomskog fakulteta u Istočnom Sarajevu (19), 67–81 (2019)
Murugesan, R., Manohar, V.: AI in Financial Sector - Notions and Operating Models. Journal of Entrepreneurship and Driver to Financial Literacy. Shanlax Int. J. Innov. Emerging Econ. 1(1), 56–78 (2019). Commerce, 7(3), 66–70
Farahani, M.S., Esfahani, A.: Opportunities and challenges of applying artificial intelligence in the financial sectors and startups during the coronavirus out-break. Int. J. Innov. Manag. Econ. Soc. Sci. 2(4), 33–55 (2022)
Jeunesse, M., Chevalier, G., Roulland, T.: NLP-enabled impact investing (2020)
Fernández, A.: Artificial intelligence in financial services. Banco de Espana Article 3, 19 (2019)
Lin, T.C.: Artificial intelligence, finance, and the law. Fordham L. Rev. 88, 531 (2019)
**e, M.: Development of artificial intelligence and effects on financial system. J. Phys. Conf. Ser. 1187(3), 032084 (2019)
Carter, D.: How real is the impact of artificial intelligence? The business information survey 2018. Bus. Inf. Rev. 35(3), 99–115 (2018)
Kaya, O., Schildbach, J., AG, D.B., Schneider, S.: Artificial intelligence in banking. Artificial intelligence (2019)
Kunwar, M.: Artificial intelligence in finance: understanding how automation and machine learning is transforming the financial industry (2019)
Bao, Y., Hilary, G., Ke, B.: Artificial intelligence and fraud detection. In: In: Babich, V., Birge, J.R., Hilary, G. (eds.) Innovative Technology at the Interface of Finance and Operations, pp. 223–247. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-75729-8_8
Uzsoki, D., Guerdat, P.: Impact tokens: a blockchain- based solution for impact investing (2019)
Alijani, S., Karyotis, C.: Co** with impact investing antagonistic objectives: a multistakeholder approach. Res. Int. Bus. Finan. 47(C), 10–17 (2019)
Reeder, N., Colantonio, A.: Measuring Impact and Non-financial Returns in Impact Investing. In: Measuring Impact Beyond Financial Returns. EIBURS. Working Paper (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alaoui, A.A., Azdimousa, H. (2024). How Artificial Intelligence Combined with Blockchain Technology Could Accelerate Impact Investing. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-54318-0_38
Download citation
DOI: https://doi.org/10.1007/978-3-031-54318-0_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-54317-3
Online ISBN: 978-3-031-54318-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)