Enterprising Investor Anna Martirosyan: Ethical AI, Model Governance, and the Future of Responsible Finance
Dec 15, 2025
Anna Martirosyan, a strategy and transactions manager at EY Parthenon, dives into the ethical foundations of AI in finance. She discusses the balance between creative AI applications and necessary governance, emphasizing fairness and transparency. Anna also addresses the evolving global regulation landscape, sharing insights on how firms can navigate compliance challenges. Her practical tips on using AI responsibly cover areas such as credit scoring and fraud detection, while advocating for inclusive practices that foster trust in technology.
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Ethics Is Both Systemic And Human
- Ethical AI requires both system-level checks and human-centered design to work together.
- Model outputs reflect the data, feature choices, and incentives set by people.
Set Clear Goals And Forbidden Actions
- Define clear objectives and explicitly state what the AI is not allowed to do.
- Embed responsibility into every stage of the AI lifecycle and document governance.
Constrain Creativity In Production Models
- Finance often demands constrained, auditable models rather than broad creative outputs.
- Creativity can help research, but production systems need governance and traceability.