Responsible Algorithms: Ethics for Robo and Hybrid Advice
State what the model considers—income, goals, capacity for loss—and what it does not. Offer plain-language rationales, not math-heavy opacity. Provide a summary of trade-offs and uncertainties before clients commit. Would you accept these explanations for your own money? Tell us honestly.
Responsible Algorithms: Ethics for Robo and Hybrid Advice
Regularly test for disparate outcomes across demographics, adjusting features and thresholds responsibly. Maintain model inventories, approvals, and challenger reviews. Sunset stale models quickly. Ethical standards require humility: publish improvements openly. Subscribe for a practical bias-testing checklist you can start using today.