Role of Employment Law in Addressing Professional Identity Crises and Self-Doubt Triggered by AI Displacement: Legal Frameworks for Workplace Automation Pradip Kumar Kashyap, Saurabh Chandra Imposter Syndrome and AI Navigating Human Identity in the Age of Intelligent Machines, 2026 Job skills changed when workers reorganized companies, and people's views of their professional identities changed as well. According to this essay, identity crises and self-doubt brought on by robots doing human work should be addressed in new labor legislation, as should the handling of layoffs. It would also examine the legislation protecting workers' rights and the ethical justifications for businesses' social responsibility. It holds that in order to safeguard employees' health and maintain their human dignity, labor regulations need to be modified. However, the author claims that automation still destroys a person's spirit, regardless of how beneficial technology is in everyday life. It offers a rights-based approach to preserving workers' dignity and social standing in an era when technological slaves are beginning to resemble humans. The safety and mental well-being of individuals should be considered by the government when drafting work rules.
Social and Ethical Dimensions of a Biodiversity-Driven Bioeconomy Bhupinder Singh, Saurabh Chandra Harnessing Biodiversity for A Sustainable Bioeconomy, 2026 Policies need to address social and ethical concerns over biodiversity based bioprospecting and genetic modification. Genetically Modified Approaches: The technology of genetic modification comes with great potential for innovation in agriculture, medicine, and industry, while in turn, raises ethical issues surrounding the unforeseen impact, harm to biodiversity, and rights of indigenous communities. The act of bioprospecting exploring biodiversity for genetic and biochemical resources that hold economic potential has risks of overexploration, endangering ecosystems and the livelihoods of nearby residents. Hence, potential equitable benefit-sharing mechanisms are needed that allow proceeds of these resources to enable conservation practices and benefit local tribes. Policies should focus on transparency, sustainability, and safeguarding traditional knowledge even as biopiracy must be addressed. This bioeconomy must be ethical about inequalities, having a balance between development and conservation for long-term sustainability.
AI, Consent, and GDPR: Ensuring Privacy and Rights in the Digital Age Kittisak Jermsittiparsert, Saurabh Chandra, Bhumika Muchan Artificial Intelligence and Human Rights Democracy and the Rule of Law, 2026 With the rise of digital technology and mounting worries about privacy, the European Union (EU) has enacted what many experts believe to be a groundbreaking law, the “General Data Protection Regulation (GDPR)”. Its primary function is to protect “natural persons”—that is, individuals—and their private information. The law is not only revolutionary in its own right but also an important guide for any nation that aspires to the EU's free-trade zone. The GDPR framework is subject of an in-depth analysis here. The focus is on that part of the framework that deals with consent. The analysis spells out what consent means under the GDPR and how it must be deconstructed for effective operation. It shows that consent is the fulcrum on which the framework turns, a pivotal legal basis that allows personal data protection laws to have the desired effect of keeping citizens in control of their personal data. This paper examines GDPR, as well as its “bigger picture” objectives, by figuring out how to reach the clear and concise expression of an individual's will to allow another person or entity to do something with personal data. It then undertakes a “deep dive” critical analysis of the very concept of consent: what it is in the particular context and what it means.
Fuzzy Logic for Fault Diagnosis and Prognostics in Renewable Energy Systems Bhupinder Singh, Christian Kaunert, Saurabh Chandra Fuzzy Logic in Revolutionizing Renewable Energy, 2026 With the rapid development of renewable energy systems, it is necessary to adopt advanced fault diagnosis and prognostics techniques that can guarantee that those technologies run reliably, efficiently and safely. Fuzzy logic is a highly promising technique for handling the uncertainty and imprecision prevalent in these processes. Renewable energy is much of the world’s moving forward to sustainability and environmentalism alternative to coal infested with planets. With global warming, energy security and environmental degradation coming to the forefront of debate on economies around the world, powering our cities with renewable sources almost becomes a necessity. Clean power programs made up of energy-producing systems using 54the sun, wind and water along with other organic sources reduce contamination in an obvious manner. This chapter ventures into the fuzzy logic-based approaches in diagnostics and prognostics of renewable energy systems, demonstrating the merits provided by it as well its limitations along with some areas for further development.
Whistleblowing, Social Justice, and the Law in the International and Indian Scenarios: Evaluating Legal Frameworks and Protection Mechanisms Suparna Kundu, Shubhangi Bajaj Bag, Saurabh Chandra Safeguarding Social Justice and Human Rights in the Age of AI, 2026 Whistleblowing is one of the most effective means to promote openness, accountability, and effective governance by allowing individuals to report abusive, fraudulent, harmful, or illegal practices in an organization or government. The legislative environments of whistleblower protection differ by jurisdiction but are generally broader than their North American counterparts. There are also international regulations, like the UN Convention Against Corruption (UNCAC) and recommendations of the Organisation for Economic Co-operation and Development (OECD), in which states are urged to enact protection laws. But enforcement and application is inconsistent. Whistle Blowers in India are afforded legal protection by the Whistle Blowers Protection Act, 2014, which is a law in India to safeguard the interests of people who raise their voice against corruption, malpractices and misuse of power against the government.
Smart Irrigation: Farming Instilling Blockchain and Internet of Agricultural Things (IoAT): Focusing Groundwater Scarcity, Ensuring Futuristic Sustainable Farming Bhupinder Singh, Christian Kaunert, Saurabh Chandra Demystifying Sustainable Farming Using Smart Technologies, 2026 Smart agriculture is an advancement centered on utilizing information and communication technology within machinery, equipment, and sensors to supervise farms through network-based systems. Emerging technologies like the Internet of Things (IoT) and cloud computing are likely to fuel expansion and announce robots and artificial intelligence in farming practices. These pioneering shifts are disrupting traditional agricultural methods and come with various challenges. The goal of smart farming is to deliver the agricultural industry with the foundation it uses cutting-edge technologies like big data, cloud computing, and the IoT to track, monitor, automate, and analyze activities. Smart farming is distinguished by sensor monitoring and software administration. Its importance is increasing as a result of things like the expanding world population, the need for more climate-resilient agriculture, the adoption and sophistication of information and communication technology, the increasing demand for higher crop yields, and the efficient use of natural resources. This chapter comprehensively explores the applications of blockchain and the Internet of Agricultural Things for smart irrigation and farming, focusing on water scarcity and sustainable development.
Designing Human-Centered AI to Promote Confidence, Inclusivity, and Mental Well-Being Saurabh Chandra, Aqsa S. Fatima, Liza Shoor Imposter Syndrome and AI Navigating Human Identity in the Age of Intelligent Machines, 2026 The idea of “human-centered AI” is a “naive aspiration” that entails building AI with people in mind first. This method promotes the development of AI to improve, not replace, human decision-making, and it is said to respect user autonomy, trust, and well-being. Human-centered AI uses design principles that include everyone, development methodologies that incorporate everyone, and ethical frameworks to produce systems that a wide range of people, including persons with impairments and people from marginalized groups, can use. AI systems that lessen cognitive load, offer individualized aid, and keep people in charge of life-saving decisions may help some mental health outcomes. This strategy of putting people first will make sure that AI maintains a tool for empowerment, respects human dignity and the principle of fair access, and improves quality of life while reducing any negative consequences that might happen through continual stakeholder involvement and ethical oversight.
Navigating the Ethical and Legal Landscapes of Smart IoMT Decisions Smart Decision Systems Integrating Symbolic AI and Cognitive Heuristics for Iomt, 2025
The Road Ahead: Addressing Complexities and Paving the Way for Next-Generation IOMT Intelligence Smart Decision Systems Integrating Symbolic AI and Cognitive Heuristics for Iomt, 2025
AI and ML-based Cybersecurity Enhancement for Financial Institutions Saurabh Chandra, Hritesh Yadav, S. Aravind, Rakesh Kumar Saini, Upasana Sharma, Siva Koteswara Rao Katta Proceedings of 3rd International Conference on Sustainable Computing and Data Communication Systems Icscds 2025, 2025
AI-Enhanced Student Performance Analysis and Improvement System S. Praveenkumar, Saurabh Chandra, Krishnamoorthi M, M. Sasikumar, S. P. Santhoshkumar, R. M. Dilip Charaan 2025 IEEE 7th International Conference on Computing Communication and Automation Iccca 2025, 2025
GenAI-Driven Smart Hiring Platform Veera Venkata Raghunath Indugu, Lahari Putty, Saurabh Chandra, M. Sasikumar, S. P. Santhoshkumar, R. M. Dilip Charaan 2025 International Conference on Future Technologies Icft 2025, 2025
Cloud-Enabled IoT for Smart Dermatology: A Machine Learning Approach Parthasarathi Pattnayak, Arpeeta Mohanty, Sanghamitra Patnaik, Shashwata Sahu, Bhupinder Singh, Saurabh Chandra Proceedings of the 2025 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2025, 2025
