  Like any technology, AI systems come with inherent risks and potential
benefits. It comes with potential disruption of established norms and methods
of work, societal impacts and externalities. One may think of the adoption of
technology as a form of social contract, which may evolve or fluctuate in time,
scale, and impact. It is important to keep in mind that for AI, meeting the
expectations of this social contract is critical, because recklessly driving
the adoption and implementation of unsafe, irresponsible, or unethical AI
systems may trigger serious backlash against industry and academia involved
which could take decades to resolve, if not actually seriously harm society.
For the purpose of this paper, we consider that a social contract arises when
there is sufficient consensus within society to adopt and implement this new
technology. As such, to enable a social contract to arise for the adoption and
implementation of AI, developing: 1) A socially accepted purpose, through 2) A
safe and responsible method, with 3) A socially aware level of risk involved,
for 4) A socially beneficial outcome, is key.
