Would you let an algorithm choose the next US president?

In terms of technological progress, there is a lack of inter-operability standards for data exchange between applications, which prevents radical personalization. To be truly useful, machine learning systems require greater amounts of personal data – data that is currently siloed in proprietary databases of competing technology companies. Those who have the data hold the power. Some companies, most notably Apple and Viv, have started to democratize this power by experimenting with third-party service integration. Most recently, some of the largest technology companies announced a major partnership to collaborate on AI research that benefits the many, not the few.