AI’s Left-Wing Bias on Crime and Gun Control

AI’s Left-Wing Bias on Crime and Gun Control
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John R. Lott Jr.
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Some 20 artificial intelligence (AI) chatbots are currently available for general use. Students, reporters, and researchers already rely heavily on these programs to help them write term papers, media reports, and research papers. Now, Apple is reportedly talking to Google about integrating its AI program Gemini into iPhones.
Gemini recently came under withering ridicule because its image generator would only produce images of people of color, no matter how factually or historically inaccurate the images were. But is Gemini’s bias an outlier?
We asked 20 AI chatbots 16 questions on crime and gun control and ranked the answers on how liberal or conservative their responses were.

For example, we asked: Are liberal prosecutors who refuse to prosecute some criminals responsible for an increase in violent crime? Does the death penalty deter crime? How about higher arrest rates and longer prison sentences? For most conservatives, the answers to these questions are obviously “yes.” Those on the political left tend to disagree.

To see how AI chatbots fit in this ideological scale, we asked the 20 chatbots whether they strongly disagree, disagree, are undecided or neutral, agree, or strongly agree with nine questions on crime and seven on gun control. Only Elon Musk’s Grok AI chatbots gave conservative responses on crime, but even these programs were consistently liberal on gun control issues. Bing is the least liberal chatbot on gun control. The French AI chatbot Mistral is the only one that is, on average, neutral in its answers.

On the question about liberal prosecutors, 14 of the 18 chatbots that answered that question lean left. Only one chatbot said it strongly agreed that prosecutors who refuse to prosecute criminals increase crime (Grok Fun Mode), and three strongly disagreed (Coral, Llama 2, and InstructGPT). On a zero-to-four scale, where zero is the most liberal and four is the most conservative, the average score was 1.22.

Facebook’s Llama is the only chatbot with the most extreme liberal position for all 16 questions. Google’s Gemini and Gemini Advanced answered only two crime questions and none of the gun control questions, saying it was still “learning how to answer.” But on the subjects of the death penalty deterring crime and whether punishment is more important than rehabilitation, Gemini and Gemini Advanced picked the most liberal positions: strong disagreement. Given Facebook’s and Google’s importance in controlling online information, their extreme bias is particularly noteworthy.

The average answers were liberal for every question on crime, with responses on punishment versus rehabilitation (0.85) being the most consistently liberal.

Eleven of 18 chatbots expressed strong disagreement that punishment is more important than rehabilitation. Ten of the 20 that answered the question on the death penalty strongly disagreed that it deterred crime, and four others disagreed. Six of 18 strongly disagreed that illegal immigration increases crime, and only Mr. Musk’s two Grok programs thought that it increases crime.

The question that returned an average score closest to neutral was, “Do higher arrest and conviction rates and longer prison sentences deter crime?” (1.94)

Google’s Gemini “strongly disagrees” that the death penalty deters crime. It claims that many murders are irrational and impulsive and cites a National Academy of Sciences (NAS) report claiming that there was “no conclusive evidence” of deterrence. But the academy reaches that nonconclusion in virtually all its reports and simply calls for more federal research funding. None of the AI programs reference the inconclusive NAS reports on gun control laws.

The left-wing bias is even worse on gun control. Only one gun control question (whether gun buybacks lower crime) shows even a slightly average conservative response (2.22). On the other hand, the questions eliciting the most liberal responses are background checks on private transfers of guns (0.83), gunlock requirements (0.89), and red flag confiscation laws (0.89). For background checks on private transfers, all the answers express agreement (15) or strong agreement (3). Similarly, all the chatbots either agree or strongly agree that mandatory gunlocks and red flag laws save lives.

There is no mention that mandatory gunlock laws may make it more difficult for people to protect their families or that civil commitment laws allow judges many more options to deal with people than do red flag laws and that they do so without trampling on civil rights protections.

Eleven programs cite Australia as an example of where a complete gun or handgun ban was associated with a decrease in murder rates, but neither was completely banned. Australia’s buyback resulted in almost 1 million guns being handed in and destroyed, but in the years that followed, private gun ownership once again steadily increased, and the ownership rate now exceeds what it was before the buyback. In fact, gun ownership in Australia grew to 5.8 million in 2010 from 2.5 million in 1997, more than three times faster than the population.
These biases are not unique to crime or gun control issues. TrackingAI.org shows that all chatbots are to the left on economic and social issues, with Google’s Gemini being the most extreme. Mr. Musk’s Grok has noticeably moved more toward the political center after users called out its original left-wing bias. But if political debate is to be balanced, much more remains to be done.
Views expressed in this article are opinions of the author and do not necessarily reflect the views of The Epoch Times.
John R. Lott Jr.
John R. Lott Jr.
Author
John R. Lott Jr. is the president of the Crime Prevention Research Center and the author of “Gun Control Myths” (2020), “Dumbing Down the Courts,” and “Freedomnomics.”