How Blockchains could transform Artificial Intelligence - Dataconomy

For example, in 2007, Google researchers Halevy, Norvig and Pereira of Google published a paper showing how data could be "unreasonably effective" across many AI domains. In short: decentralized / shared control encourages data sharing, which in turns lead to better models, which in turns leads to higher profit / lower cost / etc. But blockchains encourage data sharing among traditional silos, if there is enough up-front benefit. The classifier can detect legitimate fraud and avoid false positives, therefore lowering the fraud rate, to benefit of insurance providers and certification labs.