As AI becomes embedded in products that touch billions of lives, product leaders face unprecedented ethical responsibilities that directly impact trust, adoption, and long-term success. The decisions you make about fairness, transparency, and consent don't just affect your users—they shape societal norms and can cause real harm at scale when mishandled.
123456789101112from dataclasses import dataclass from typing import Dict, List import pandas as pd import numpy as np @dataclass class BiasMetrics: demographic_parity: float equalized_odds: float predictive_parity: float individual_fairness: float
123456789101112interface AIDecision { decisionId: string; timestamp: Date; userId: string; modelVersion: string; inputFeatures: Record<string, any>; prediction: any; confidence: number; explanation: string; humanOverride?: { overriddenBy: string; reason: string;
123456789101112interface ConsentOption { id: string; name: string; description: string; dataUsed: string[]; aiFeatures: string[]; required: boolean; defaultValue: boolean; } interface UserConsent { userId: string;