The Indian Ministry of Home Affairs has proposed a nationwide Automated Facial Recognition System (AFRS) that will use images from CCTV cameras, newspapers, and raids to identify criminals against existing records in the Crime and Criminal Tracking Networks and System (CCTNS) database.
The success of such a law depends on how its purview is defined and how well it is implemented.
It has been estimated that children and adolescents under the age of 18 account for one in three Internet users around the world.
The recent debate on privacy that started with Aadhaar is at a curious inflection point with the introduction of The Personal Data Protection Bill, 2019 in Parliament.
Outbreaks of life-threatening infectious diseases such as Ebola in West Africa, Zika in South America, Avian influenza in China, and Nipah in India are occurring with increasing frequency.
Artificial intelligence and autonomous vehicles, fintech and blockchain, biotechnology and healthcare; all rely on cross-border flows of data. However, the transfer of data raises several pressing policy challenges.
As India emerges as a major global economic power, its inclination to leverage technology for financial services has simultaneously increased.
While advocates of localization point to the importance of data as a commodity, skeptics point to the potential fracturing of the internet if countries adopt protectionist policies.
The Indian government has announced plans for an overarching national Automated Facial Recognition System (AFRS), which will be used for “criminal identification, verification and its dissemination among various police organisations and units across the country.”
The IndiGen Genome Project, launched in April 2019, is a government-funded exercise that sequenced more than a thousand individuals from diverse ethnicities to create a genome database for India.