The use of AI to achieve security & safety for minors and females in

This study examines how AI can be deployed—within ride-hailing smartphone apps and

linked vehicle IoT—to reduce risks and improve safety for minors and females in Egypt.

It combines technical designs, ethical constraints, policy and governance

recommendations, and a proposed international consensus (standards + verification)

framework. The paper proposes novel AI features across five pillars: (1) app-level

safety, (2) in-vehicle IoT & hardware integration, (3) AI-driven driver behavior

monitoring, (4) emergency response automation, and (5) predictive risk modelling. The

recommendations are practical, measurable, and tuned to Egyptian regulatory context

and international best practice. Key legal/regulatory background: Egypt has specific

ride-hailing legislation and licensing requirements that shape what platforms must

record and report