Category: AI & Technology

By — Anaaya Wahi Abstract India’s gig economy runs on data as much as on labour, like location pings, face scans, ratings and behavioural logs copied through terms-of-service agreements that workers cannot meaningfully negotiate. This article argues that such extraction is not a privacy footnote to the “real” gig-work debate over social security and wages,…

By -Anaaya Wahi Abstract India’s gig economy runs on data as much as on labour, like location pings, face scans, ratings and behavioural logs copied through terms-of-service agreements that workers cannot meaningfully negotiate. This article argues that such extraction is not a privacy footnote to the “real” gig-work debate over social security and wages, but…

By – Amritesh Unny    Abstract  On 12 June 2026, the ILO (International Labour Organisation) adopted Convention No. 193, the first binding treaty on platform work. Its articles 13 to 15 do something Indian law has not, they make an algorithm explain itself before it takes away a livelihood. India abstained. Five weeks earlier it notified the Social Security (Central) Rules, 2026, which register gig…

By – Amritesh Unny  Abstract    A single number can now fail a student, an AI detector returns a percentage, and a committee reads it as a confession. It happened at Lucknow University and at Jindal Global Law School. No court in India has yet said what such a number proves. When does a tool that assists become one that…

By — Utkarsh Suman Abstract Public debates surrounding AI have largely focused on one question- will AI steal jobs of human artists? Honestly this is just a massive distraction. The real shift is happening much closer to home, right in the audience’s brain and not in the capabilities of AI. The attention economy has already…

By- Aashita Sarin Abstract Artificial intelligence systems rely on large volumes of human-annotated data yet this labour is becoming increasingly fragmented. AI developers, outsourcing vendors, and digital platforms often perform different functions within the same production chain, separating the entity that commissions labour from the one that contracts with or oversees the worker. Who, then,…

By – Ishita Jain Abstrarct This article analyses the question of whether the training of generative AI on copyrighted content constitutes a violation of intellectual labour rights through expropriation or a legally permitted transformative use, and its implications on the economics of intellectual labour.The article discusses the varied American jurisprudence on AI training, particularly Thomson…

By – Ishita Jain Abstract  Artificial Intelligence is powered by vast amounts of human-generated content, yet the creators of this data often receive neither consent, recognition, nor compensation. This article examines how AI training raises concerns relating to digital labour, copyright, privacy, intellectual property, and transparency, while arguing that ethical AI development must be grounded…

By — Ihina Yadav Abstract 11th March 2026 marks the day when OpenAI CEO Sam Altman casually declared that he envisions “a future whereintelligence is a utility, like electricity or water, and people buy it from us on a meter.” This sparked great controversy and led to a chain of discourse where netizens noticed the dystopian future that awaited them, whereas Altman called it a business model. This article interacts…

By – Anaaya Wahi Abstract As artificial intelligence is restructuring hiring across India’s advancing economy, its adoption risks embedding instead of disrupting deep-rooted gender inequalities prevalent in the labour market. This article scrutinises how AI-driven recruitment tools which are trained on biased historical employment data might systematically disadvantage women thus reinforcing wage disparities and occupational…

By – Aashita Sarin Abstract Imagine a citizen’s information is legally posted in one instance but then continues to flow within the AI system long after it is legally and socially no longer relevant and there is technically no way of removing it. This is not an unusual scenario. It is the state of present-day…

By — Amritesh Unny Abstract    A single number can now fail a student, an AI detector returns a percentage, and a committee reads it as a confession. It happened at Lucknow University and at Jindal Global Law School. No court in India has yet said what such a number proves. When does a tool that assists become one that…