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""It marks an exciting moment for the field," said Demis Hassabis, DeepMind's founder and chief executive. "These algorithms are now becoming mature enough and powerful enough to be applicable to really challenging scientific problems." Advertisement Venki Ramakrishnan, the president of the Royal Society, called the work "a stunning advance" that had occurred "decades before many people in the field would have predicted"."

"The problem with digital technology is that, for engineers, it is both intrinsically fascinating and seductively challenging, which means that they acquire a kind of tunnel vision: they are so focused on finding solutions to the technical problems that they are blinded to the wider context. At the moment, for example, the consensus-establishing processes for verifying blockchain transactions requires intensive computation, with a correspondingly heavy carbon footprint. Reducing that poses intriguing technical challenges, but focusing on them means that the engineering community isn't thinking about the governance issues raised by the technology. There may not be any central authority in a blockchain but, as Vili Lehdonvirta pointed out years ago, there are rules for what constitutes a consensus and, therefore, a question about who exactly sets those rules. The engineers? The owners of the biggest supercomputers on the chain? Goldman Sachs? These are ultimately political questions, not technical ones."

"What if facial recognition technology isn't as good at recognising faces as it has sometimes been claimed to be? If the technology is being used in the criminal justice system, and gets the identification wrong, this can cause serious problems for people (see Robert Williams' story in "Facing up to the problems of recognising faces")."

"There's a similar problem in artificial intelligence: The people who develop AI are increasingly having problems explaining how it works and determining why it has the outputs it has. Deep neural networks (DNN)-made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains-often seem to mirror not just human intelligence but also human inexplicability."

"Sam Smith, of the health data privacy group MedConfidential, said: "This is an utterly appalling case. It's an individual problem that the doctor did this. But it's a systemic problem that they could do it, and that flaws in the way the NHS's data management systems work meant that any doctor can do something like this to any patient."

"Students using ChatGPT solved 48% more of the problems correctly, and those with the AI tutor solved 127% more problems correctly, according to the report. But their peers who did not use ChatGPT outscored them on the related tests. In fact, students using ChatGPT scored 17% worse on tests.  Kids working on their own performed the same on practice assignments and tests.  Researchers told The Hechinger Report that students are using the chatbot as a "crutch" and that it can "substantially inhibit learning.""

"Researchers at the University of Pennsylvania found that Turkish high school students who had access to ChatGPT while doing practice math problems did worse on a math test compared with students who didn't have access to ChatGPT. Those with ChatGPT solved 48 percent more of the practice problems correctly, but they ultimately scored 17 percent worse on a test of the topic that the students were learning. "

"This stuff is far more complicated than calibrating safe following distances or even braking for a loose soccer ball. Goodall writes: "There is no obvious way to effectively encode complex human morals in software.""

"However, once technology is released it's like herding cats. Deepfakes are a moving feast and as soon as moderators find a way of detecting them, people will find a workaround."

"The system is designed to solve the an often-ignored problem of 75% of the earth's population, an estimated 4 billion people, who have no address for mailing purposes, making it difficult to open a bank account, get a delivery, or be reached in an emergency."

"According to Derek & Laura Cabrera, "wicked problems result from the mismatch between how real-world systems work and how we think they work". With systems thinking, there is constant testing and feedback between the real world, in all its complexity, and our mental model of it. This openness to test and look for feedback led Dr. Fisman to change his mind on the airborne spread of the coronavirus."

"Marx had a point. Especially when it comes to ethics, philosophy is often better at finding complications and problems than proposing changes. Silicon Valley has been better at changing the world (even if through breaking things) than taking pause to think through the conse­quences."

"People have been censored or blocked from the platform because their names sounded too fake. Ads for clothing disabled people we removed buy algorithms that believed they were breaking the rules and promoting medical devices. The Vienna Tourist Board had to move to adult content friendly site OnlyFans to share works of art from their museum after Facebook removed photos of paintings. Words that have rude popular meanings but other more specific definitions in certain circles - like "hoe" amongst gardeners, or "cock" amongst chicken farmers or gun enthusiasts - can land people in the so-called "Facebook jail" for days or even weeks."

"Google should know better, given that it already had a "hallucination problem" with its featured snippets(Opens in a new tab) at the top of search results back in 2017. The snippets algorithm seemed to particularly enjoy telling lies about U.S. presidents. Again, what could go wrong?"

"AI-generated art illustrates another problem with technology"

"Commentary: Our emails are getting more impolite and that might be a problem Although some choose to dive into their content immediately, starting your emails with an opening greeting could raise the chances of them being read, says the Financial Times' Pilita Clark."

"Has the introduction of social media in the past 10-15 years caused the increase in prevalence of mental health problems in teens? At this point, most of what I'm reading and hearing is a resounding yes (especially for girls). I don't necessarily disagree with this. Just to level set: I think there is a very good chance (my current number is probably around 75%) that social media has contributed to the teen mental health crisis. At the same time, I think large-scale mental health crises are complex phenomena, that there are likely multiple causes, and that we need to make sure we're approaching the data with the scrutiny it deserves. It's this nuance that, I think, has been missing from the conversation."

"Just like Napster forced legal music streaming to advance, popular tools like ChatGPT, Midjourney, and DALL-E2 will force us to establish AI best practices and ethical guidelines. The IP for Generative AI will continue to be debated in the culture and in the courts, and we will collectively come to agreements. The only issue is whether regulation will ever be able to keep up with the rapid pace of AI."

"Apple is banking on its upcoming AI features to boost iPhone sales especially in China, where demand has been lagging. But there's a problem: ChatGPT - soon to be integrated into Siri - is banned in China. "

""An emotionally intelligent human does not usually claim they can accurately put a label on everything everyone says and tell you this person is currently feeling 80% angry, 18% fearful, and 2% sad," says Edward B Kang, an assistant professor at New York University writing about the intersection of AI and sound. "In fact, that sounds to me like the opposite of what an emotionally intelligent person would say." Adding to this is the notorious problem of AI bias. "Your algorithms are only as good as the training material," Barrett says. "And if your training material is biased in some way, then you are enshrining that bias in code.""