Can AI solve cold cases Atlantic City police use AI to investigate a 30-year-old missing child case.

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Can artificial intelligence be the answer to solving cold cases that have remained unsolved for decades? While the use of AI to investigate the missing child case of Dulce Maria Alavez is innovative, there are valid concerns regarding the extent to which AI can accurately solve difficult cases such as this one.

To offer an alternative view, the use of AI in cold case investigations has the potential to uncover previously unknown leads, which traditional methods may have missed. This technology can analyze large volumes of data in mere seconds, and maps out patterns and correlations in the data that humans may not recognize. By prioritizing leads that are more likely to be successful, the Atlantic City police department – and other law enforcement agencies – can direct their resources more efficiently.

Yet, the use of AI raises issues of privacy and bias. The amount of data available online is staggering, and its use in law enforcement poses a risk of abuse. While it is important to solve cold cases, using AI could perpetuate the same systemic problems in policing. Additionally, an algorithm is only as good as the data it analyzes. There is always a risk of skewed results when the algorithm is trained on incomplete or biased data.

Outcome, while AI is an exciting technology that has the potential to advance the investigative process, it should be used with caution. The Atlantic City police department’s use of AI to investigate Dulce Maria Alavez’s missing child case is a significant step towards solving it. However, as with any new technology, it is important to remember that it is not a panacea for all problems, and there may be unintentional consequences.

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