A student-run group at NALSAR University of Law
[This article is authored by Jatin Yadav, a 2nd year B.A. LL.B. (Hons.) student at Hidayatullah National Law University. It discusses the prospect of artists’ legal standing to sue AIs that are trained on their productions for copyright infringement in respect of substantial similarity test and fair use doctrine. This is the second article in the series titled ‘AI Art,’ the first part can be found here.]
Introduction
[This article is authored by Tejaswini Kaushal, a 2nd year B.A. LL.B. (Hons.) student at Dr. Ram Manohar Lohiya National Law University, Lucknow. It elucidates the international and national status quo of AI-generated art and reflect on the ethical and legal standards. This is part of a series titled ‘AI Art,’ the second article of which can be found here.]
Introduction
[This is the second part of a two-part article analysing ChatGPT and its legal implications. It is authored by K Nand Mohan in the second year, and RS Sanjanaa in the third year at Symbiosis Law School, Pune. The first part can be found here]
Inherent Drawbacks of ChatGPT and their Legal Implications
[This post has been authored by Riya Sharma and Atulit Raj, second-year students at the Institute of Law, Nirma University.]
Introduction
[Ed Note: The following post is part of the TLF Editorial Board Test 2021-22. It has been authored by Mehreen Mander, a fourth year student of NALSAR University of Law.]
Of late, the Government of India has been prioritizing the development, adoption and promotion of Artificial Intelligence. In 2018, substantial funding was allocated to the national program for artificial intelligence. Many Union Ministries are also making great leaps in the field of AI. In 2017, the Union Ministry of Commerce and Industry set up an AI Task Force which, in its report, hailed the potential of AI to be a solution to many socio-economic problems across ten identified sectors. Furthermore, the Union Ministry of Electronic and Information Technology set up four committees to prepare a roadmap for the National Artificial Intelligence Programme.
[This post is authored by Shikhar Aggarwal, a third year student at National Law University, Delhi.]
This article covers the need for, and rationale behind, the concept of principled Artificial Intelligence (“AI”). It explores the broad contours of the ethical principle of AI responsibility and accountability, analysing how it may be adopted in India. While tort law and product liability may hold the human element behind AI liable for harms caused, the existing frameworks are insufficient for redressing harms caused by autonomous technologies.
[Shubham Damani is a second year student at NALSAR University of Law, Hyderabad. This two-part post was the winning entry in the Ab Initio Essay Writing Competition hosted by the NALSAR Student Law Review. Part 1 can be found here.]
Previously, the author had discussed a framework which would help impose liability on Artificial Intelligence in in various situations. This post continues the discussion, with an examination of the kind of liability to be affixed and what a workable regulatory framework would look like.
[Shubham Damani is a second year student at NALSAR University of Law, Hyderabad. This two-part post was the winning entry in the Ab Initio Essay Writing Competition hosted by the NALSAR Student Law Review. Part 2 can be found here.]
“The development of full artificial intelligence could spell the end of the human race.”
Stephen Hawking
[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.