Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: “ChatGPT and Crime – What Law Enforcement Needs to Know about Large Language Models.” Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disinformation and other illicit activities.
Can Data Scientists Produce Fair and Accurate Recidivism Forecasts?
The U.S. National Institute of Justice’s (NIJ) “Recidivism Forecasting Challenge” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. The Challenge offers an opportunity for contestants to win prize money totaling over $700,000 for their development of a recidivism forecasting model using data provided by NIJ. The winning Challenge forecasts will be used to help improve recidivism rates, the likelihood of a past criminal offender to reoffend, and inform policies and practices.
Challenges of Predictive Analytics for Law Enforcement
In this contributed article, Ari Vidali is Founder & CEO of Envisage Technologies, discusses how modernized data management processes and analytics are fueling police reform efforts. With heightened attention on officer behavior and accountability, predictive analytics are emerging as the trending band-aid fix to a much larger problem.