George Kailas, CEO at Prospero.ai, points out, that the effectiveness of AI in this realm is a double-edged sword, fraught with ethical implications and the risk of reinforcing existing biases. By analysing historical crime data, algorithms can identify patterns and trends, offering a proactive approach to policing.
Yet, the question remains: Can AI truly deliver on its promise without compromising fairness and equity in the justice system? George Kailas, CEO at Prospero.ai discusses the challenges and opportunities presented by this emerging technology, highlighting the need for careful implementation and oversight. Excerpts:
Can AI accurately predict future crimes?
When Tom Cruise starred in "Minority Report" in the early 2000s, his character assisted law enforcement with the prediction and prevention of crime through psychic technology. The idea that technology could predict future crimes seems like a Hollywood dream. Well, today that movie plot is becoming a reality.
At the University of Chicago, a team of scientists created an AI-based algorithm that utilizes historical crime data in an effort to predict future criminal occurrences. AI learns from data and follows a set of rules - which is what we call an algorithm - in order to recognize patterns for prediction. By inputting criminal history from previous years and using the developed algorithm, AI can help predict future crimes.
This story is from the November 2024 edition of DataQuest.
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This story is from the November 2024 edition of DataQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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