ItemConference Paper

AI-Powered Solutions for Legal Compliance in Industrial Workspaces a Psychological and Labour Law Perspective

Title
AI-Powered Solutions for Legal Compliance in Industrial Workspaces a Psychological and Labour Law Perspective
Creator
Venugopal, E.; Rikimi; Vinjamuri, Lakshmi Priya; Sachan, Vivek Singh; Samuel, Stephen; Shukhratjon, Ismoilov
Description
The complicated issue of the ways to ensure the workplaces in the industries meet the legal standards brings together the psychology of the workplaces, the labour law, and the convolution of the AI design. In this dissertation, the author investigates the use of AI-mediated options to deal with regulatory compliance and psychological and legal issues. The risk associated with the fair labour, discrimination, and safety issues can be addressed with the help of predictive analytics, automated compliance, and AI-compliance monitoring. The use of AI can also be expanded to support worker well-being and mental health through the identification of work stressors, burnout prevention, and creation of a physiologically safe workplace. But in the case of AI, there are ethical or legal considerations around the agency of workers, bias in algorithms, as well as privacy or confidentiality of data. Due to these reasons, it is necessary to adopt the strategy approach, where AI and human observation are used to determine the work decisions trade-offs in an observable and just manner to employers and employees alike. This dissertation also added to the contribution of how AI can benefit the responsible design of industrial workplaces that do not fail to achieve ethical standards, hold to psychological sustainability, and adhere to labour laws, evaluating the psychological effects of labour law actors as well as effects on the workplace. 2025 IEEE.
Source
2025 International Conference on Sustainability, Innovation and Technology, ICSIT 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Industrial workspace; Legal compliance
Coverage
Venugopal E., Saveetha School of Law, Saveetha University, Chennai, India; Rikimi, MIT Institute of Design, MIT ADT University, Department of Graphic Design, Maharashtra, Pune, India; Vinjamuri L.P., Technology and Legal Analyst Law College, Dehradun Uttaranchal University, Uttarakhand, India; Sachan V.S., School of Business Management, CSJM University, Kanpur, India; Samuel S., CHRIST (Deemed to be University), Department of Psychology, Karnataka, Bangalore, India; Shukhratjon I., Tashkent State University of Law, Department of LabourLaw, Tashkent, Uzbekistan
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833153549-0;
Format
online
Language
English
Type
Conference paper

Citation

Venugopal, E.; Rikimi; Vinjamuri, Lakshmi Priya; Sachan, Vivek Singh; Samuel, Stephen; Shukhratjon, Ismoilov, “AI-Powered Solutions for Legal Compliance in Industrial Workspaces a Psychological and Labour Law Perspective,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26111.

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