AI ethics and systemic risks in finance

Autor: Ekaterina Svetlova
Přispěvatelé: Financial Engineering, Digital Society Institute
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Ai and Ethics
AI and Ethics, 2, 713-725. Springer Nature
ISSN: 2730-5953
DOI: 10.1007/s43681-021-00129-1
Popis: The paper suggests that AI ethics should pay attention to morally relevant systemic effects of AI use. It draws the attention of ethicists and practitioners to systemic risks that have been neglected so far in professional AI-related codes of conduct, industrial standards and ethical discussions more generally. The paper uses the financial industry as an example to ask: how can AI-enhanced systemic risks be ethically accounted for? Which specific issues does AI use raise for ethics that takes systemic effects into account? The paper (1) relates the literature about AI ethics to the ethics of systemic risks to clarify the moral relevance of AI use with respect to the imposition of systemic risks, (2) proposes a theoretical framework based on the ethics of complexity and (3) applies this framework to discuss implications for AI ethics concerned with AI-enhanced systemic risks.
Databáze: OpenAIRE