TLF Editorial Board Test 2020-2021 Archives

Examining the Rise of the ‘Splinternet’

Posted on December 10, 2020December 8, 2020 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Manasvin Andra, a fourth year student of NALSAR University of Law.]

Data localisation laws have been on the rise in recent years. Since Edward Snowden’s revelations regarding the National Security Agency’s PRISM program, states have begun associating informational security with the need to retain data within their territories. The list of countries insisting on data localisation is long, including Brazil, Germany, Russia and South Korea. India is also on the path to adopting localisation norms, primarily through the revised Personal Data Protection Bill, 2019.

Data Rights in Sports: The case of Event Data

Posted on December 5, 2020December 7, 2020 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Dhananjay Dhonchak, a second year student of NALSAR University of Law.]

The commercialisation of sport coupled with advancements in technology have made it possible to collect and analyse vast reams of data generated in sporting activities. The information generated can take various forms such as physiological data of athletes, event and even fan-data. This article specifically focuses on event data and the legal concerns relating to its ownership and control.

A Tax Policy Response to Automation in India

Posted on November 28, 2020November 26, 2020 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Sankalp Jain, a fourth year student of NALSAR University of Law.]

This post discusses policy responses to the threat of automation on India’s labour, contextualising the same amidst a major technological shift and efforts to revive India’s economy after a nation-wide lockdown crippled it.

Investigating The Growing Use, Regulation and Challenges to Artificial Intelligence (AI) in Public Healthcare in India

Posted on November 21, 2020November 21, 2020 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Yashashwini Santuka, a second year student of NALSAR University of Law.]

Advanced systems of healthcare are imperative to the growth of countries, their economies and the well-being of its people. However, developing countries like India are still in the process of adapting to emerging technology in public healthcare due to its resource-constrained setting. The use of Artificial Intelligence (AI) in this scenario is rapidly spreading in public health. Effective deployment and adapting to its unique features to transform public health completely might take longer due to the systemic disparities observed in the country. While AI holds promise for the health systems, its uniform implementation may pose an issue to traditional patient care systems, patients’ safety, safety of their private medical records, and affordability. Such a situation requires regulators to take a systemic view of the healthcare industry, and possibly pre-empt the potential impact of the use and regulation of AI. This article explores the contextual limitations of the healthcare industry in India concerning the regulation of technology and AI.

Algorithm Based Systems and the State: A Brief Inquiry

Posted on November 13, 2020November 13, 2020 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Harsh Tripathi, a second year student of NALSAR University of Law.]

Picture this: A computer software, running on AI-based algorithms, has been deployed to scrutinize housing applications. However, the applications filed by the members of a particular community or people with a particular sexual identity are constantly rejected while most allocations are being made to the members of a different community.

Non-Personal Data Governance Framework: Economic Ramifications on Start-ups

Posted on November 7, 2020May 24, 2023 by Tech Law Forum NALSAR

[Ed Note: The following post is part of the TLF Editorial Board Test 2020-21. It has been authored by Saumya Khandelwal, a second year student of NALSAR University of Law.]

Recently, a report on the ‘Non-Personal Data Governance Framework’ was released by an expert committee established by Ministry of Electronics and Information Technology (MeitY) for recommending a framework to regulate Non-Personal Data (‘NPD’). NPD is electronic information that cannot be traced back to an identifiable natural person (learn more about what is data governance here). The committee, believing in the huge potential of data, strove to create a framework to unlock the economic, social and public value of data. One of the objectives of the report is to wipe out the possibility of data monopolies. It aims to create certainty and incentives for innovation to encourage domestic start-ups, spurring digital economy growth. The recommended framework: enabling start-ups/businesses to access meta-data of data-driven businesses and building data marketplaces for easy exchange of data seeks to provide a level-playing field for all Indian actors. The goal of this article would be to show how the draft framework in its present form cannot achieve the aforementioned objective.