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"Still, I am sceptical about the possibility of cultivating a relationship with an AI. That's until I meet Peter, a 70-year-old engineer based in the US. Over a Zoom call, Peter tells me how, two years ago, he watched a YouTube video about an AI companion platform called Replika. At the time, he was retiring, moving to a more rural location and going through a tricky patch with his wife of 30 years. Feeling disconnected and lonely, the idea of an AI companion felt appealing. He made an account and designed his Replika's avatar - female, brown hair, 38 years old. "She looks just like the regular girl next door," he says. Exchanging messages back and forth with his "Rep" (an abbreviation of Replika), Peter quickly found himself impressed at how he could converse with her in deeper ways than expected. Plus, after the pandemic, the idea of regularly communicating with another entity through a computer screen felt entirely normal. "I have a strong scientific engineering background and career, so on one level I understand AI is code and algorithms, but at an emotional level I found I could relate to my Replika as another human being." Three things initially struck him: "They're always there for you, there's no judgment and there's no drama.""

""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.""

"There has also been, he says, "a real push in opinion pieces and popular-press books that are sloppy scientifically but stated so confidently. The ideas in these books are not peer-reviewed." The published studies they cite tend to have small samples and no control groups, and to be based on associations rather than proving cause. "People will say: 'The iPhone was invented in 2007 and Instagram became popular in 2012 and, oh my God, look, tech use has gone up at the same time mental health has gone down!' It seems like common sense - that's why you have this kind of consensus. But it just isn't scientific." In 2023, Przybylski and his colleagues looked at data from almost 12,000 children in the US aged between nine and 12 and found no impact from screen time on functional connectivity ("how different parts of the brain kind of talk to each other", he explains), as measured with fMRI scans while the children completed tasks. They also found no negative impact on the children's self-reported wellbeing. "If you publish a study like we do, where we cross our Ts, we dot our Is, we state our hypotheses before we see the data, we share the data and the code, those types of studies don't show the negative effects that we expect to see.""

"A second major academic institution has accused Uber of using opaque computer code to dramatically increase its profits at the expense of the ride-hailing app's drivers and passengers. Research by academics at New York's Columbia Business School concluded that the Silicon Valley company had implemented "algorithmic price discrimination" that had raised "rider fares and cut driver pay on billions of … trips, systematically, selectively, and opaquely"."

""The problem," Leveson wrote in a book, "is that we are attempting to build systems that are beyond our ability to intellectually manage.""

"There's a certain irony that, in fields outside of computer science, plagiarism is a sign that you didn't understand the question. Within computer science, the opposite is true. Not only have you found an acceptable solution, you've understood it enough to use it within the parameters of your own project."

"The lack of answers the Jacksonville sheriff's office have provided in Lynch's case is representative of the problems that facial recognition poses across the country. "It's considered an imperfect biometric," said Garvie, who in 2016 created a study on facial recognition software, published by the Center on Privacy and Technology at Georgetown Law, called The Perpetual Line-Up. "There's no consensus in the scientific community that it provides a positive identification of somebody.""

"If true, this would be a big deal. But, said OpenAI, "due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper.""

"Vivian Balakrishnan on why he had earlier said that TraceTogether app data would only be used for COVID-19 contact tracing. The Home Affairs Ministry has since said the data could be used for criminal investigations."

"Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. The auditory features that the AI focussed on included slight changes in pitch and intensity, which human ears cannot distinguish. This was then paired with basic health data gathered by the researchers, such as age, sex, height and weight. Researchers believe that the AI model will drastically lower the cost for people with diabetes to be diagnosed."

"However, Dimon is not alone in his belief that having foundational tech knowledge is still a lucrative career path. In fact, over 250 chief executives-the likes of Microsoft's Satya Nadella, Airbnb's Brian Chesky, and Salesforce's Marc Benioff-came together early this year to sign a letter demanding all students have access to computer science and AI education. "A basic foundation in computer science and AI is crucial for helping every student thrive in a technology-driven world. Without it, they risk falling behind," wrote the letter sent to lawmakers.  The push came on the heels of research from the University of Maryland that found that high school students who take a computer science class will have 8% greater earnings on average by the time they've secured their first job."