We must have a legal framework dealing with the “full range” of issues around artificial intelligence, including algorithmic bias, data mining, using data without the permission of the data owner, and broad principles for the same must be set out "a priori”, former TRAI chairman R.S. Sharma said on Wednesday. In order to deal with the onset of artificial intelligence, India must also have a robust data protection legislation; “the sooner it comes the better it is”, Sharma said, while speaking at the Indian government’s Raise 2020 Summit (Responsible AI for Social Empowerment, 2020). When asked about the ways in which AI can be regulated, Sharma said that regulations should be largely “reactive”, that is “you don’t regulate things unless there is a market failure”. He cautioned against doing “anticipatory regulation”, warning that it might prevent innovation, which is “not…
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Do we have an enabling system for the National Data Governance Framework Policy (NDGFP) aiming to create a repository of non-personal data?
A viewpoint on why the regulation of cryptocurrencies and crypto exchnages under 2019's E-Commerce Rules puts it in a 'grey area'
India's IT Rules mandate a GAC to address user 'grievances' , but is re-instatement of content removed by a platform a power it should...
Why ‘group privacy’ should be recognised, and how ‘non-personal’ data becomes a regulatory blindspot
There is a need for reconceptualizing personal, non-personal data and the concept of privacy itself for regulators to effectively protect data
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