Understanding the ‘big mind’: The issue of algorithmic accountability
Data controllers should focus on the quality of information offered to data subjects rather than quantity, and ensure meaningful explanations. By Camilla Tabarrini of the University of Venice.
The skyrocketing economic value of the data economy underpinning the so-called fourth Industrial Revolution is mainly fuelled by the business’ ability to infer highly insightful knowledge about clients’ behaviours and tastes. To this end, a pivotal role is notoriously played by the enlarged sphere of influence that characterises Big Data.
Indeed, what truly makes a piece of digitalised information “big” is the unprecedented number of attributes that, by heightening its descriptive value, make it possible for data analysts to find a greater number of overlaps with other data’s descriptors, thus uncovering patterns among datasets otherwise undetectable in a small data context.