  With almost daily improvements in capabilities of artificial intelligence it
is more important than ever to develop safety software for use by the AI
research community. Building on our previous work on AI Containment Problem we
propose a number of guidelines which should help AI safety researchers to
develop reliable sandboxing software for intelligent programs of all levels.
Such safety container software will make it possible to study and analyze
intelligent artificial agent while maintaining certain level of safety against
information leakage, social engineering attacks and cyberattacks from within
the container.
