AI in Finance: Responsible Practices Quiz

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Test your understanding of responsible AI in finance

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Márcia Santos

Portugal

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AI in Finance: Responsible Practices Quiz


AI in Finance: Responsible Practices QuizVersión en línea Test your understanding of responsible AI in finance por Márcia Santos 1 Which four pillars define responsible AI in finance as described in the material? a Transparency, Innovation, Explainability, Speed b Fairness, Transparency, Explainability, Human Oversight c Fairness, Accessibility, Explainability, Automation d Fairness, Privacy, Security, Compliance 2 What does 'Explainability' mean in AI-driven lending decisions? a All decisions must be personalised to every user b Explainability is optional for high-risk decisions c Loans explained in clear, understandable language d AI makes decisions without any rationale 3 What is the role of Human Oversight in AI-enabled finance? a Oversight only applies to data privacy b AI replaces human judgment completely c Humans remain accountable for consequential decisions d Humans are removed from decision processes 4 Which case illustrates AI guiding investment decisions rather than giving personalised advice? a Perplexity + Plaid data integration b Lloyds AI Investment Guidance Tool (GPS for Investments) c EnFi AI Credit Analysis d Citi Sky 24/7 AI Assistant 5 What does Citi Sky aim to provide in client interactions? a Personalized investment concerts b Full replacement of human advisors c Unrestricted financial recommendations d A secure, always-on AI advisor to assist advisors 6 What problem do EnFi’s AI credit analysts address for smaller banks? a Excessively fast loan approvals b Unfilled credit analyst positions limiting reviews c Too much human intervention in decisions d Lack of customer data for underwriting 7 Which risk is associated with AI in finance as described in the material? a No major risks are identified b AI reduces all regulatory risk c AI Hallucinations (false data presented as fact) d Only data privacy risk 8 What is the “Herding Effect” in AI-driven markets? a Coordinated selling causing market crashes b AI agents avoiding each other c Unrelated to market stability d Divergent investment patterns 9 What do audits of loan outcomes help detect in AI lending? a Unfair patterns across race, gender, income b Customer satisfaction scores c Marketing bias in ads d Only technical performance metrics 10 What is the key takeaway about AI in finance from the material? a AI can help if designed with fairness, governance, accountability b AI should be avoided in finance at all costs c AI should replace all humans d AI always causes crises

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AI in Finance: Responsible Practices QuizVersión en línea

por Márcia Santos

Which four pillars define responsible AI in finance as described in the material?

What does 'Explainability' mean in AI-driven lending decisions?

What is the role of Human Oversight in AI-enabled finance?

Which case illustrates AI guiding investment decisions rather than giving personalised advice?

What does Citi Sky aim to provide in client interactions?

What problem do EnFi’s AI credit analysts address for smaller banks?

Which risk is associated with AI in finance as described in the material?

What is the “Herding Effect” in AI-driven markets?

What do audits of loan outcomes help detect in AI lending?

What is the key takeaway about AI in finance from the material?