The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Artificial Intelligence, Machine Learning and Big Data in Finance: Opportunities, Challenges and Implications for Policy Makers
Open accessAbstract
The report can help policy makers to assess the implications of these new technologies and to identify the benefits and risks related to their use. It suggests policy responses that that are intended to support AI innovation in finance while ensuring that its use is consistent with promoting financial stability, market integrity and competition, while protecting financial consumers. Emerging risks from the deployment of AI techniques need to be identified and mitigated to support and promote the use of responsible AI. Existing regulatory and supervisory requirements may need to be clarified and sometimes adjusted, as appropriate, to address some of the perceived incompatibilities of existing arrangements with AI applications.
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Citations
Cites
Artificial Intelligence in Society
OECD (2019) · doi:10.1787/eedfee77-en · Cited by 487
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Metadata
- Authors
- OECD
- Corresponding author
- OECD
- Venue
- OECD eBooks
- Publisher
- OECD
- Published
- 2021-08-11
- OpenAlex
- W4400154793
- Cited by
- 59
- References
- 1
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 13 · 2023: 7 · 2022: 6
- FWCI
- 9.37
- Type
- book
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- OECD eBooks (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence in finance, machine learning, big data, financial regulation, financial stability, market integrity, competition, financial consumer protection, responsible AI, emerging risks, regulatory policy
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