Enabling Multi-Party Consensual Data Exchange Through Blockchain
Published in The 27th Irish Conference on Artificial Intelligence and Cognitive Science, 2019
Abstract
The quantity and quality of data available to an organisation plays an increasingly important role in its operation. This data can relate to a variety of subjects, from the internal logistics to consumer sentiment towards a product in a specific market. This data provides increasingly optimal behaviour derived from its analysis, e.g. improved decision making. As more advanced, application-specific, machine learning models are developed, the organisation with the largest share of data will gain an advantage over its competitors. It is postulated that smaller entities with minority shares in data within a domain possess only a fragmented view of a market. This fragmented view puts the smaller entity at a disadvantage and enables larger entities to reap unfair, competitive advantages. This unequal dynamic should be rectified. To that end, in this work, a model is proposed that enables the consensual sharing of data between multiple parties using blockchain.
Recommended citation: Jack Hickey, Ruairi O'Reilly (2019). “Enabling Multi-Party Consensual Data Exchange Through Blockchain.” The 27th Irish Conference on Artificial Intelligence and Cognitive Science.
Download Paper