Beyond Traditional AI Governance
Current regulatory approaches like the EU AI Act focus primarily on high-risk applications, missing the cumulative impact of “low-risk” systems on human experience. We need complementary frameworks that address:
Algorithmic Impact Assessments: Evaluating how systems collectively shape attention, decision-making, emotional regulation, and social connection across platforms and applications.
Mental Ecosystem Protection Standards: Similar to environmental protection, establishing thresholds for cognitive and emotional impacts with monitoring and enforcement mechanisms.
Digital Childhood Preservation Zones: Limiting algorithmic optimization during critical developmental periods when neural pathways governing attention, identity, and agency are still forming.
Cumulative Exposure Monitoring: Tracking AI exposure across platforms and applications, analogous to environmental monitoring networks that assess collective contamination.
Emotional Authenticity Standards: Preventing manipulation of emotional responses through dark patterns and requiring disclosure of affective computing applications.