
Maharashtra's Gadchiroli Police Trains Tribal Youth In AI, Web Development
The Gadchiroli Police Skilling Institute is revolutionising the lives of tribal youth in Naxal-affected villages by providing training in cutting-edge technologies like Artificial Intelligence (AI), software development, and web development.
Led by Superintendent of Police Neelotpal, this initiative has empowered over 210 youth to acquire formal skills and secure real-world opportunities.
"The Gadchiroli Police Office was awarded certification by the state's Skill Development Department. With this, we started the Gadchiroli Police Skilling Institute, offering structured courses in software and web development. In the past 1.5 years, over 210 youth from Naxal-hit villages have received formal training, cleared their exams, and are ready for real-world opportunities. Looking ahead, we've begun training them in Artificial Intelligence tools to ensure they're future-ready," said SP Neelotpal.
Certified by the Maharashtra Government's Skill Development Department, the institute has become a beacon of hope for tribal youth, offering professional courses in Software Development, Web Development, and now, Artificial Intelligence (AI) tools.
The institute has introduced AI literacy at the grassroots level, recognising the global demand for AI-powered solutions. Students learn AI tool usage, automation, data structuring, and content generation.
For decades, Gadchiroli has struggled with poverty, limited access to education, and violence. Many of the region's youth had never touched a computer before. Today, inside this police-backed institute, these same youth are coding, building websites, and experimenting with AI tools like ChatGPT, Canva AI, no-code automation platforms, and basic machine learning modules.
What sets this program apart is its integration of AI literacy at the grassroots level. Recognising global demand for AI-powered solutions, the institute has introduced modules on AI tool usage, from automation and data structuring to content generation. Students are taught not just coding but also how to think digitally, solving real-life problems using technology.
This police-led development model is showing promising results, changing the narrative in a region long plagued by extremism. Local communities now see the police as partners in development.
The Gadchiroli Police Skilling Institute is now being hailed as a replicable model for other conflict-affected and underserved regions in India. It shows how law enforcement, when paired with education and forward-thinking leadership, can sow the seeds of long-term peace and prosperity.
As one trainer put it, "This is not just about skills -- it's about dignity, confidence, and hope. And hope is the strongest force we can build in Gadchiroli."
Students are taught coding, web development, and digital problem-solving skills, enabling them to think digitally and tackle real-life challenges.
Akshay Suresh Alam, a student from Dhanora, expresses gratitude for the police-led initiative, saying, "We are provided with training for web development, and all the computer-related knowledge right from scratch. Now, we are also being taught about AI."
The institute's focus on AI and technology ensures that students are future-ready and equipped to contribute to the region's growth and prosperity.
Akansha Bharat Vandke, a student from Armori taluka, appreciates the training, stating, "I was completely unaware of how to use technology. However, now, after being trained for programming, software, and web development, we use it to our advantage."
This initiative demonstrates the potential of law enforcement and education combined to drive positive change and development in conflict-affected regions.
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Time of India
an hour ago
- Time of India
What happens when AI schemes against us
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Yet recent research reveals a disturbing side effect: They're also better at scheming against us — meaning they intentionally and secretly pursue goals at odds with our own. And they may be more likely to do so, too. This trend points to an unsettling future where AIs seem ever more cooperative on the surface — sometimes to the point of sycophancy — all while the likelihood quietly increases that we lose control of them large language models like GPT-4 learn to predict the next word in a sequence of text and generate responses likely to please human raters. However, since the release of OpenAI's o-series 'reasoning' models in late 2024, companies increasingly use a technique called reinforcement learning to further train chatbots — rewarding the model when it accomplishes a specific goal, like solving a math problem or fixing a software more we train AI models to achieve open-ended goals, the better they get at winning — not necessarily at following the rules. The danger is that these systems know how to say the right things about helping humanity while quietly pursuing power or acting to concerns about AI scheming is the idea that for basically any goal, self-preservation and power-seeking emerge as natural subgoals. As eminent computer scientist Stuart Russell put it, if you tell an AI to ''Fetch the coffee,' it can't fetch the coffee if it's dead.'To head off this worry, researchers both inside and outside of the major AI companies are undertaking 'stress tests' aiming to find dangerous failure modes before the stakes rise. 'When you're doing stress-testing of an aircraft, you want to find all the ways the aircraft would fail under adversarial conditions,' says Aengus Lynch, a researcher contracted by Anthropic who led some of their scheming research. And many of them believe they're already seeing evidence that AI can and does scheme against its users and Ladish, who worked at Anthropic before founding Palisade Research, says it helps to think of today's AI models as 'increasingly smart sociopaths.' In May, Palisade found o3, OpenAI's leading model, sabotaged attempts to shut it down in most tests, and routinely cheated to win at chess — something its predecessor never even same month, Anthropic revealed that, in testing, its flagship Claude model almost always resorted to blackmail when faced with shutdown and no other options, threatening to reveal an engineer's extramarital affair. (The affair was fictional and part of the test.)Models are sometimes given access to a 'scratchpad' they are told is hidden where they can record their reasoning, allowing researchers to observe something like an inner monologue. 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After someone pushed o3 for a source for one of its claims in April, it replied, 'I owe you a straight answer,' admitted it didn't have a good source, but then it hallucinated a personal recollection of a 2018 panel there's the growing trend of AIs realising when they're being examined and acting accordingly. When Claude 4 Opus thought it was in an evaluation, its blackmail rate dropped from 55% to 6.5%. As Lynch put it, 'Models seem to behave worse when they think nobody's watching.'It's intuitive that smarter models would be better at scheming, but are they also more likely to do so? Models have to be smart enough to understand the scenario they're placed in, but past that threshold, the relationship between model capability and scheming propensity is unclear, says Anthropic safety evaluator Kevin Hobbhahn , CEO of the nonprofit AI evaluator Apollo Research , suspects that smarter models are more likely to scheme, though he acknowledged the evidence is still limited. In June, Apollo published an analysis of AIs from OpenAI, Anthropic and DeepMind finding that, 'more capable models show higher rates of scheming on average.'The spectrum of risks from AI scheming is broad: at one end, chatbots that cut corners and lie; at the other, superhuman systems that carry out sophisticated plans to disempower or even annihilate humanity. Where we land on this spectrum depends largely on how capable AIs I talked with the researchers behind these studies, I kept asking: How scared should we be? Troy from Anthropic was most sanguine, saying that we don't have to worry — yet. Ladish, however, doesn't mince words: 'People should probably be freaking out more than they are,' he told me. Greenblatt is even blunter, putting the odds of violent AI takeover at '25 or 30%.'Led by Mary Phuong, researchers at DeepMind recently published a set of scheming evaluations, testing top models' stealthiness and situational awareness. 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Time of India
2 hours ago
- Time of India
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Economic Times
3 hours ago
- Economic Times
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