The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance
Abstract
Artificial Intelligence (AI) is creating a rush of opportunities in the financial sector, but financial organizations need to be aware of the risks inherent in the use of this technology. Financial organizations are integrating AI in their operations: in‐house, outsourced, or ecosystem‐based. The growth of AI‐based fintech firms has encouraged several mergers and acquisitions among financial service providers and wealth managers as they grapple with volatility, uncertainty, complexity, and ambiguity. AI's unique promise of combined cost reduction and increased differentiation makes it generally attractive across the board. However, perhaps other than fraud detection, these benefits depend on the scale of an organization. Risk arises from nonrepresentative data, bias inherent in representative data, choice of algorithms, and human decisions, based on their AI interpretations (and whether humans are involved at all once AI has been unleashed). Risk reduction requires a vigilant division of labour between AI and humans for the foreseeable future.
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Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
Improving neural networks by preventing co-adaptation of feature detectors
Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. (2012) · arXiv · doi:10.48550/arxiv.1207.0580 · Cited by 6,382
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917
Haenlein, M., & Kaplan, A. (2019) · California Management Review · doi:10.1177/0008125619864925 · Cited by 2,655
The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms
Makridakis, S. (2017) · Futures · doi:10.1016/j.futures.2017.03.006 · Cited by 1,866
Organizational Decision-Making Structures in the Age of Artificial Intelligence
Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019) · California Management Review · doi:10.1177/0008125619862257 · Cited by 1,108
The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)
Huang, M.-H., Rust, R., & Maksimovic, V. (2019) · California Management Review · doi:10.1177/0008125619863436 · Cited by 591
Metadata
- Authors
- Ashta, A., & Herrmann, H.
- Venue
- Strategic Change
- Publisher
- Wiley
- Published
- 2021-05
- Volume
- 30
- Issue
- 3
- Pages
- 211-222
- ISSN
- 1086-1718 (ISSN-L)
- 1099-1697
- OpenAlex
- W3162612648
- Cited by
- 373
- References
- 7
- FWCI
- 84.24
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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