Ethical AI Governance in Cultural Festivals: Unpacking the SCRAIF Framework

From automated facial recognition at festival turnstiles to algorithmic line pacing and predictive beverage replenishment, artificial intelligence is no longer speculative in mega-event management—it is operational reality. However, as explored in our recent CABI Digital Library publication ('Navigating the AI-Driven Festival Landscape'), rapid AI adoption without ethical guardrails introduces profound risks: algorithmic bias in security screening, unauthorized surveillance, and the corporatization of living cultural rituals. ### The Four Layers of SCRAIF To reconcile technological innovation with sacred cultural heritage, our research team formulated the **Stakeholder-Centric Responsible AI Framework (SCRAIF)**, constructed across four interdependent tiers: 1. **Foundational Ethical Governance:** Clear stakeholder charters defining data ownership, opt-out mechanisms for sacred ceremonies, and algorithmic transparency audits. 2. **Operational Data Stewardship:** Privacy-preserving edge computing that processes crowd density without storing persistent biometric identifiers. 3. **Community Cultural Custodianship:** Active co-design with traditional cultural practitioners ensuring digital interpretations do not dilute centuries-old communal rituals. 4. **Adaptive Lifecycle Assessment:** Continuous post-event algorithmic auditing to detect unintended biases or environmental footprint inflation from heavy server loads. When festivals deploy AI with leadership empathy rather than unbridled technocentric efficiency, technology ceases to disrupt heritage—it becomes its trusted custodian.