Comparing minds and machines: implications for financial stability
Autor: | Andrew G Haldane, Marcus Buckmann, Anne-Caroline Hüser |
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Rok vydání: | 2021 |
Předmět: |
Economics and Econometrics
History Potential impact Polymers and Plastics Financial stability Policy making Financial market Management Monitoring Policy and Law Industrial and Manufacturing Engineering Risk analysis (engineering) Economics Systemic risk Business Business and International Management |
Zdroj: | SSRN Electronic Journal. |
ISSN: | 1556-5068 |
DOI: | 10.2139/ssrn.3912066 |
Popis: | Is human or artificial intelligence more conducive to a stable financial system? To answer this question, we compare human and artificial intelligence with respect to several facets of their decision-making behaviour. On that basis, we characterize possibilities and challenges in designing partnerships that combine the strengths of both minds and machines. Leveraging on those insights, we explain how the differences in human and artificial intelligence have driven the usage of new techniques in financial markets, regulation, supervision, and policy-making, and discuss their potential impact on financial stability. Finally, we describe how effective mind–machine partnerships might be able to reduce systemic risks. |
Databáze: | OpenAIRE |
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