Artificial Intelligence, Robotics, and Employment Law: The Future of Labour Rights in India | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 3, 2026 | Version v1 Journal article Open Artificial Intelligence, Robotics, and Employment Law: The Future of Labour Rights in India Authors/Creators Dr. Yogeshwari Patil 1 Mr. Yuvraj Sahebrao Wagh 2 Nipu Roger Raju Somy 1 Show affiliations 1.
Sheth NKTT College, Thane 2.
VPMS R Z Shah College, Mulund East Description The rise of artificial intelligence and robotics is revolutionizing India's employment landscape, presenting new challenges and opportunities for labour rights. This study examines the intersection of emerging technologies and employment law in India, exploring the legal adaptations necessary to protect workers and address automation’s social impact. Utilizing a blend of qualitative and quantitative research, the paper analyzes current legal frameworks, surveys industry stakeholders, and presents recommendations for policy development in an evolving digital economy. Files 071629.pdf Files (533.9 kB) Name Size Download all 071629.pdf md5:3805a82d56d2d1af0e1d4c80dedaab24 533.9 kB Preview Download 18 Views 8 Downloads Show more details All versions This version Views Total views 18 18 Downloads Total downloads 8 8 Data volume Total data volume 4.3 MB 4.3 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19400247 Markdown [](https://doi.org/10.5281/zenodo.19400247) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19400247.svg :target: https://doi.org/10.5281/zenodo.19400247 HTML <a href="https://doi.org/10.5281/zenodo.19400247"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19400247.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19400247.svg Target URL https://doi.org/10.5281/zenodo.19400247 Resource type Journal article Publisher Zenodo Published in International Journal of Advance and Applied Research, S7(16), 195 - 200, ISSN: 2347-7075, 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 22, 2026 Modified April 22, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies