{
  "id": 16215777,
  "title": "Lucknow TechSangam 2026 Experts Warn Against Blind Reliance On AI Evidence In Criminal Investigations",
  "url": "https://urgent.news/2026/10/23/lucknow-techsangam-2026-experts-warn-against-blind-reliance-on-ai",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-23T17:44:14.000Z",
  "source": {
    "name": "Free Press Journal",
    "slug": "free-press-journal",
    "url": "https://www.freepressjournal.in/uttar-pradesh/lucknow-techsangam-2026-experts-warn-against-blind-reliance-on-ai-evidence-in-criminal-investigations"
  },
  "original_language": "en",
  "account": "Lucknow, October 23: While artificial intelligence (AI) can enhance forensic science and criminal investigations, experts warn against blindly relying on AI-generated evidence. Speaking at a panel discussion during the 'TechSangam' conference, experts stressed that AI can be a valuable supporting tool, but expert knowledge, human judgement and independent verification are crucial.\n\nModerator DIG Technical Ashish Tiwari highlighted that forensic science plays a vital role in preventing, detecting, investigating and prosecuting crimes. However, he emphasized that AI must be used responsibly, with reliable data, transparent procedures and human oversight.\n\nSandeep Joshi, a panelist, explained that AI can accelerate investigations by analysing large data sets quickly, helping identify patterns and connections. He noted that AI could be useful in fingerprint analysis, DNA examination, CCTV analysis and tracking individuals.\n\nHowever, Joshi cautioned that AI's effectiveness depends on data quality, appropriate software and hardware, and the analytical methodology. He stressed the need to ensure reliable results by addressing both the technology and the processes used.\n\nExperts also discussed the reliability of AI. They warned that inaccurate or biased data, misleading conclusions and tampered digital evidence could pose significant challenges. AI may produce conclusions unsupported by evidence, while biased data in training systems could influence outcomes. The risk of deepfakes and artificially generated content misleading investigations is also increasing.\n\nTo mitigate these risks, experts stressed the importance of independent verification of AI-generated findings, authenticating original evidence and documenting the entire analytical process. They emphasised the need for human oversight, accountability and clear legal and ethical standards while using AI.\n\nRetired Commodore Satish K. Satyapathi added that AI analysis cannot replace an investigator's professional judgement. Investigators must assess the quality of data, understand the analytical methodology and verify results. The admissibility of AI-generated findings in court depends on the applicable legal provisions and the reliability of the evidence. Proper expert testimony is required to explain the methodology, validate results and establish relevance and reliability.",
  "summary": "Lucknow, October 23: Artificial intelligence (AI) can play a significant role in making forensic science and criminal investigations faster, more effective and more accurate. From fingerprint and DNA analysis to the examination of CCTV footage, digital evidence and the identification of links between individuals and incidents associated with a crime, AI can enhance the capabilities of…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}