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The Supreme Court on Friday refused to entertain a PIL seeking to curb the unregulated use of artificial intelligence and machine learning in the judicial system. The top court said it was aware of the ill effects of artificial intelligence (AI) and machine learning (ML) tools in the judiciary, but these issues can be appropriately addressed by it on the administrative side rather than through judicial directions. A bench comprising Chief Justice Surya Kant and Justice Joymalya Bagchi heard senior advocate Anupam Lal Das, appearing for petitioner Kartikeya Rawal, who had sought safeguards against the risks posed by AI-generated content and its alleged misuse in judicial processes. The senior lawyer said the AI tools create non-existent judicial precedents or judgements and they finally become part of judicial pronouncements. While acknowledging the concerns, the CJI said this a lesson for the Bar and the judges both. It casts a duty on the lawyers and the judges to verify the AI .
A balanced level of humanised Artificial Intelligence (AI) design in chatbots enhances customer comfort and trust, while excessive human resemblance can cause discomfort, a new research by the Goa Institute of Management (GIM) has found. The research has studied customer behaviour towards Artificial Intelligence enabled service agents, including as chatbots, digital assistants and service robots. Conducted in collaboration with researchers from Cochin University of Science and Technology (CUSAT), Kerala, the findings of this research have been published in the International journal of Consumer Studies. With AI reshaping the Frontline Service Encounters (FLSE), the study aims to explore "how do consumers perceive and interact with AI in every day service interactions". For the same, the research team consolidated findings from 157 peer-reviewed articles to identify the key drivers, theories, and outcomes shaping consumer and AI interactions. The research team reviewed 44 top-tier .
AI research startup Redrob on Friday said it has raised USD 10 million (Rs 88.7 crore) in a Series A financing round led by Korea Investment Partners. This brings Redrob's total funds raised to date to USD 14 million, following its earlier seed round of USD 4 million in 2023. The funding round also saw participation from KB Investment, Kiwoom Investment, Korea Development Bank Capital, Daekyo Investment, and DS & Partners, according to a company statement. With the fresh capital, Redrob plans to advance its technology by refining its machine learning architecture to achieve a targeted 50-fold reduction in costs. The company also aims to develop language models tailored for India, covering all 22 officially recognised constitutional languages, and deliver a comprehensive AI suite designed to support learning, career advancement, and workplace productivity. "The company is preparing to launch several major initiatives, including the rollout of free Redrob LLM access for all Indian .