This project explores frameworks, tools, and methodologies that enable fairness-aware, privacy-aware, society-in-the-loop, personalized Internet-of-Things (IoT) systems. Thanks to the rapid growth in mobile computing and wearable technologies, monitoring complex human context becomes feasible, which paves the way to develop human-in-the-loop IoT systems that naturally evolve to adapt to the human and environment state autonomously. Nevertheless, as we move forward towards a long-standing desire to build effective, pervasive computing systems that are both autonomous and personalized, we can push the envelope of these systems to have a positive collateral effect on society. We can design the personalized systems that are aware of and can mutually adapt to the context of their surroundings for the collective benefit of the users. This requires new computation paradigms and algorithms to achieve our vision for society-in-the-loop personalized computing.