Senators question DOJ funding for AI-powered policing tech
- Bias Rating
-22% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-8% Center
- Politician Portrayal
65% Positive
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By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
59% : 'The system gives police the opportunity to reassure communities that law enforcement is there to serve and protect them and helps to build bridges with residents who wish to remain54% : The system, which can be funded by Justice Department grants, is used by law enforcement in more than 110 U.S. communities to detect gunfire and respond to crime scenes faster.
46% : Wyden said he and seven other Democratic lawmakers are still waiting for a Justice Department response to their April letter raising concerns about federal funds going to local law enforcement agencies to buy a variety of artificial intelligence technologies, including some that integrate gunshot detection data.
37% : A Democratic senator said the U.S. Justice Department needs to look into whether the algorithm-powered police technologies it funds contribute to racial bias in law enforcement and lead to wrongful arrests.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.