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I’m standing in the parking lot of an apartment building in East London, near where I live. It’s a cloudy day, and nothing seems out of the ordinary.
A small drone descends from the skies and hovers in front of my face. A voice echoes from the drone’s speakers. The police are conducting routine checks in the neighborhood.
I feel as if the drone’s camera is drilling into me. I try to turn my back to it, but the drone follows me like a heat-seeking missile. It asks me to please put my hands up, and scans my face and body. Scan completed, it leaves me alone, saying there’s an emergency elsewhere.
I got lucky—my encounter was with a drone in virtual reality as part of an experiment by a team from University College London and the London School of Economics. They’re studying how people react when meeting police drones, and whether they come away feeling more or less trusting of the police.
It seems obvious that encounters with police drones might not be pleasant. But police departments are adopting these sorts of technologies without even trying to find out.
“Nobody is even asking the question: Is this technology going to do more harm than good?” says Aziz Huq, a law professor at the University of Chicago, who is not involved in the research.
The researchers are interested in finding out if the public is willing to accept this new technology, explains Krisztián Pósch, a lecturer in crime science at UCL. People can hardly be expected to like an aggressive, rude drone. But the researchers want to know if there is any scenario where drones would be acceptable. For example, they are curious whether an automated drone or a human-operated one would be more tolerable.
If the reaction is negative across the board, the big question is whether these drones are effective tools for policing in the first place, Pósch says.
“The companies that are producing drones have an interest in saying that [the drones] are working and they are helping, but because no one has assessed it, it is very difficult to say [if they are right],” he says.
It’s important because police departments are racing way ahead and starting to use drones anyway, for everything from surveillance and intelligence gathering to chasing criminals.
Last week, San Francisco approved the use of robots, including drones that can kill people in certain emergencies, such as when dealing with a mass shooter. In the UK most police drones have thermal cameras that can be used to detect how many people are inside houses, says Pósch. This has been used for all sorts of things: catching human traffickers or rogue landlords, and even targeting people holding suspected parties during covid-19 lockdowns.
Virtual reality will let the researchers test the technology in a controlled, safe way among lots of test subjects, Pósch says.
Even though I knew I was in a VR environment, I found the encounter with the drone unnerving. My opinion of these drones did not improve, even though I’d met a supposedly polite, human-operated one (there are even more aggressive modes for the experiment, which I did not experience.)
Ultimately, it may not make much difference whether drones are “polite” or “rude” , says Christian Enemark, a professor at the University of Southampton, who specializes in the ethics of war and drones and is not involved in the research. That's because the use of drones itself is a “reminder that the police are not here, whether they’re not bothering to be here or they’re too afraid to be here,” he says.
“So maybe there’s something fundamentally disrespectful about any encounter.”
GPT-4 is coming, but OpenAI is still fixing GPT-3
The internet is abuzz with excitement about AI lab OpenAI’s latest iteration of its famous large language model, GPT-3. The latest demo, ChatGPT, answers people’s questions via back-and-forth dialogue. Since its launch last Wednesday, the demo has crossed over 1 million users. Read Will Douglas Heaven’s story here.
GPT-3 is a confident bullshitter and can easily be prompted to say toxic things. OpenAI says it has fixed a lot of these problems with ChatGPT, which answers follow-up questions, admits its mistakes, challenges incorrect premises, and rejects inappropriate requests. It even refuses to answer some questions, such as how to be evil, or how to break into someone’s house.
But it didn’t take long for people to find ways to bypass OpenAI’s content filters. By asking the model to only pretend to be evil, pretend to break into someone’s house, or write code to check if someone would be a good scientist based on their race and gender, people can get the model to spew harmful stereotypes or provide instructions on how to break the law.
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