Big data refers to ‘high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.’1Rapidly increasing computing capacity now gives rise to the possibility of applying algorithms,machine learning and other forms of artificial intelligence to aggregate and analyse extremely large sets of both structured and unstructured data to generate new types of predictive data. This technological capacity has emerged only recently, creating new opportunities and new concerns. Strategic direction, policy and decisions in both public and private sectors increasingly adopt a data-driven, evidence-based approach. Predictions generated by big data analysis might thus be used to inform decisions at both community and individual levels about provision of access to resources such as insurance services, banking services, employment, accommodation, credit, educational opportunities, health care and government benefits. It may also form the basis for decisions in the criminal justice system2, migration, and licensing. India's Aadhaar program, the world's largest biometric database containing the personal details of an estimated 1.2 billion Indian citizens, is just one example of the huge amount and type of data which may now be collected.
|Type||Submissions received for Issues Paper on Human Rights and Technology (July 2018) (AHRC)|
|Place of Publication||AHRC Website|
|Publication status||Published - 2018|
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- big data analysis
- predictive data
- biometric databases