In a first, Karnataka cops to deploy agentic AI to combat fake news: Report
Bengaluru: Karnataka police are set to deploy a cutting-edge artificial intelligence system in a landmark move to tackle online misinformation, fake news, and cybercrimes.
The new system will be powered by "agentic AI" — advanced AI technology capable of independently identifying and flagging harmful content on the internet, as reported by Deccan Herald on Monday.
The initiative builds on the earlier work of the Information Disorder Tackling Unit (IDTU) under the Department of Electronics, IT and BT. That unit has now been integrated into the newly established Cyber Command Unit (CCU) under the Home Department.
At the core of the CCU's strategy is the deployment of agentic AI systems. Unlike traditional AI models that rely heavily on human supervision, agentic AI can perform complex tasks autonomously and make real-time decisions, functioning as digital assistants for police officers.
"These agents are deployed across public parts of the internet to identify and flag harmful content. They do not access private messages or personal conversations," DH quoted a senior police official involved in the project as saying.
Once flagged, this content will be reviewed by human operators. If deemed relevant to the public, particularly in the case of misinformation, the content will be published on an interactive government platform — satya.gov.in — where it will be reframed in simple, easy-to-understand language. Citizens will also be able to participate by submitting verified information or reporting suspicious content, making the system more collaborative.
To build the capabilities of agentic AI, the police have begun working with both Large Language Models (LLMs) and Small Language Models (SLMs) — machine learning systems capable of handling specific tasks with minimal input, DH added.
"These models are currently being used to complete targeted tasks. Over time, as we gather more data, we'll use it to train our agentic systems," the officer mentioned.
All development work is being carried out in-house at the IDTU. So far, the unit has been relying on traditional AI to monitor misinformation online and had achieved strong results with high accuracy. However, those systems were limited in scope and required substantial human oversight. The shift to agentic AI is expected to reduce that dependency and scale up operations.
Meanwhile, the officer cautioned that even the most advanced AI systems are still capable of producing false or misleading conclusions, a phenomenon known as "hallucination." As a result, human oversight will remain essential even after these systems are deployed. "Developing and refining such high-tech systems requires continuous observation, research, and testing," the officer added.
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Rupee falls 9 paise to all-time low of 90.58 against US dollar in early trade
Mumbai (PTI): Rupee depreciated 9 paise to an all-time low of 90.58 against US dollar in early trade on Monday, weighed down by uncertainty over an India-US trade deal and persistent foreign fund outflows.
Forex traders said rupee is trading with a negative bias as investors are in wait and watch mode and awaiting cues from the India-US trade deal front.
At the interbank foreign exchange market, the rupee opened at 90.53 against the US dollar, then fell further to an all-time intraday low of 90.58 against the greenback, registering a fall of 9 paise over its previous close.
On Friday, the rupee had slipped 17 paise to close at an all-time low of 90.49 against the American currency.
Meanwhile, the dollar index, which gauges the greenback's strength against a basket of six currencies, was trading 0.05 per cent lower at 98.35.
Brent crude, the global oil benchmark, was trading higher by 0.52 per cent at USD 61.44 per barrel in futures trade.
On the domestic equity market front, the 30-share benchmark index Sensex was trading 298.86 points lower at 84,968.80, while the Nifty was down 121.40 points at 25,925.55.
Foreign Institutional Investors sold equities worth Rs 1,114.22 crore on Friday, according to exchange data.
"FPIs continue to be in selling mode in equity and debt while RBI has been selling dollars to fund their long positions," said Anil Kumar Bhansali, Head of Treasury and Executive Director Finrex Treasury Advisors LLP.
