Mind Matters Natural and Artificial Intelligence News and Analysis

TagSan Francisco

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Military bomb defusing robot with shepherd dog in the background.

How San Francisco’s Gun Fears Prevented Lifesaving Innovation

Killer robots in law enforcement would reduce the death toll but they are a bridge too far for many politicians

In November, 2022, San Francisco voted to allow police to deploy killer robots. Less than a month later, the city reversed their decision. Initially, in an 8-3 vote, San Francisco’s Board of Supervisors allowed law enforcement to use robots “as a deadly force option when risk of loss of life to members of the public or officers is imminent and outweighs any other force option available to SFPD.” Sounds like reasonable policy, but protestors held up “NO KILLER ROBOTS!” signs at City Hall and the Board of Supervisors caved. This may be a case of hoplophobia, an irrational fear of firearms. So-called “killer robots” can deploy explosives to allow passage through blockaded doors or, in extreme situations, kill those who put innocent Read More ›

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accurate facial recognition software detection technology. blur people with facial scan showing digital personal data and social credit

U.S. Ranked #8 in Countries Using Facial Recognition Technology

7 in 10 governments widely use facial recognition technology

A new report has ranked the United States #8 among 100 countries for widespread use of facial recognition technology (FRT). The report came out of Comparitech last week. A team evaluated the 100 most populated countries to compare their use of FRT. The study analyzed the use of FRT in governments, police departments, airports, schools, banks, workplaces, and on public transportation. The U.S. scored 18 on a scale of 0-40 (0 indicating an invasive use of FRT, and 40 indicating no evidence or an outright ban on the technology), pairing it with Mexico for the eighth ranking in the top 10 list. “There is…growing use of this technology within the US, but buses don’t appear to have FRT installed as Read More ›

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black swan In a pond

It’s Hard To Estimate Highly Improbable Things Like Earthquakes

Some have hoped that AI would provide reliable help with predicting They have been disappointed

Investors often overreact to both good and bad news. When a company’s quarterly earnings turn out to be slightly below forecasts, its stock price might plunge 20 percent or more. Thus, when theoretical models of the stock market models assume that price changes conform to a bell-shaped curve of normal distribution, that assumption is more convenient than credible. Another inconvenient truth is that many investors are prone to chasing trends up or down. After a stock’s price has gone up, they rush to buy, which pushes the price even higher. When these two realities meet head-on, stock returns are sometimes more extremely good or bad than would be true of a normal distribution. On October 19, 1987, the S&P 500 Read More ›