In exploring the unsolved murders of Barry and Honey Sherman, I turned to an AI tool, Gemini, for insights after Toronto detectives employed AI in their investigation. Uploading nearly 4,000 pages of police documents, I sought fresh perspectives but quickly hit upon AI’s “hallucination” issue—where it fabricates details. Gemini initially misreported crucial timeline data regarding a prime suspect, the “walking man,” involved in the case. Despite this, it did accurately trace how theories behind the Shermans’ deaths evolved from a murder-suicide to a double murder after further autopsy results emerged.
While AI can aid investigative reporting, its reliance on input data necessitates strict verification to avoid misinformation. As the investigation lingers, Toronto police face complications preserving details as key witnesses pass away. My experience underscores the importance of combining AI insights with human scrutiny, emphasizing that truth depends on asking the right questions and verifying AI-generated information effectively.
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