Sunil Jain, Prem Kamal Jain
Global mobile data traffic is growing rapidly. Artificial intelligence (AI) plays an important role in this growth, and safety should be a priority in all aspects of this development. Adverse effects on human health with widespread use with upcoming 5G/6G mobile networks need to be addressed. AI with its growing capabilities needs to be explored for safety strategies. We elaborate the AI-based safety measures as 'Conceptual Framework' comprising "3RRs": risk-reducing devices, risk-reducing engineering and environment; and risk-reducing personalization/habits. For devices using frequencies <6 GHz, the electromagnetic field (EMF) exposure measure is in terms of "specific energy absorption rate" for devices using frequencies <6 GHz, the EMF is measured as "absorbed power density." AI is utilized to lower exposure, with sophisticated algorithms analyzing real-time monitoring data. Wireless gadgets used in various fields like mobile communication, health monitoring, exercise monitoring, warfare tele-communications, etc. AI is useful for automating information delivery among multiple smart applications simultaneously and safely, with automatic sequential decision-making in dynamic environments. Engineering environmental safety with reduced radiation is required. The implementation of 6G and future networks, which aim to create a fully connected world, requires dense deployment. This advancement is possible with AI, enabling dynamic deployment, continual adaptation, autonomous decision-making, and robust control systems. Satellite direct-to-device (D2D) communications are only valuable in truly remote areas and in disasters. Personal habits, simple, healthy, safe, enumerated as an 'ABC' plan. AI's capability for real-time data analysis and decision-making can guide users for safe use. Guidance for growth with safety strategies suggested should be useful for progress in engineering, policies of governments', and people's healthy habits proactively.