AI and Law: Liabilities in Artificial Intelligence with Special Reference to AI Chatbots and Virtual Assistance
Artificial Intelligence (AI) has become an integral part of our daily lives, making tasks easier and more efficient. From predictive text that improves our typing to virtual assistants like Siri and Alexa that help us stay organized and access information, AI seamlessly integrates into our routines. In healthcare, AI-powered diagnostic tools assist in identifying diseases, revolutionizing medical assessments. Additionally, AI chatbots have transformed customer service and legal consultation, offering instant responses and structured communication. As AI continues to evolve, it has become a trusted companion in both personal and professional spaces, reshaping the way we live and work. However, as we increasingly rely on these technologies, critical legal and ethical concerns emerge. Who is responsible if an AI chatbot provides misleadingadvice? What happens when an AI system misinterprets data? How do we ensure data privacy when AI-driven virtual assistants handle sensitive information.?This research paper explores the legal liabilities surrounding AI chatbots, virtual assistants focusing on issues of misinformation, privacy breaches, and accountability. It delves into the challenges of assigning responsibility among developers, service providers, and users while analyzing how existing legal frameworks adapt to AI’s growing influence. As AI continues to shape industries, governments worldwide, including India, are working on regulations to address these concerns. This study sets out to assess current legal stand and gives recommendations to ensure that AI remains a tool for progress while safeguarding legal implications. By balancing innovation with accountability, we can create a future where AI enhances our lives without compromising our rights.
Institutions
- Shri Dharmasthala Manjunatheswara College of Ayurveda and Hospital (IN)
- Sri Dharmasthala Manjunatheshwara College of Dental Sciences & Hospital (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-02
- DOI
- https://doi.org/10.5281/zenodo.15328857
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00