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.
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.
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.
The Narendra Modi government wants to reportedly water down the provisions related to data localization proposed in the draft Personal Data Protection Bill 2018 formulated by the Justice Srikrishna Committee.
Carnegie India, in partnership with the Vedica Scholars Programme for Women, hosted the fifth talk of the Anahita Speaker Series on “Creating Safer Cities.”
The experiment by He Jiankui, a Chinese researcher who claims to have produced genetically altered babies, has polarized the scientific community, and brought the potential benefits and pitfalls of gene editing into sharp focus—both in India and the world.