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 balancing big data and privacy


Balancing Big Data and privacy

#artificialintelligence

One of the most exciting promises that the Justice Srikrishna Committee held out was that the data protection framework it suggested would protect individual privacy while ensuring that the digital economy flourished. It claimed that in doing so it would chart a path distinct from the US, the European Union and China, one that was finely tuned to the new digital economy. If it was going to deliver on this, its biggest challenge was going to be designing its privacy framework to address both the promises and challenges of Artificial Intelligence and Big Data. As I read through the report, I was glad to note that the committee had devoted considerable space to the subject. While discussing the principles of collection and purpose limitation, the committee observed that the purposes for which Big Data applications use data only become evident at a later point and that it is, therefore, impossible to stipulate a purpose in advance. As a result, the committee had noted that "limiting collection is antithetical to large-scale processing; equally, meaningful purpose specification is impossible with the purposes themselves constantly evolving".