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"Over the years critics have pointed out their many shortcomings as well. Perhaps the biggest flaw of all is that the laws are vague. If machines become so human that we find it difficult to tell them and us apart, how will a machine tell the difference? Where does humanity end and artificial intelligence begin? And even if an AI can distinguish itself from a human being, we also cannot know what loopholes and reprogramming a robot is capable of. Surely an AI more clever than us could plan a way to access its core and bypass any of its existing limitations."

"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."

"Wikipedia lives and dies by its references, the links to sources that back up information in the online encyclopaedia. But sometimes, those references are flawed - pointing to broken websites, erroneous information or non-reputable sources. A study published on 19 October in Nature Machine Intelligence1 suggests that artificial intelligence (AI) can help to clean up inaccurate or incomplete reference lists in Wikipedia entries, improving their quality and reliability."

"Kellin Pelrine, an American player who is one level below the top amateur ranking, beat the machine by taking advantage of a previously unknown flaw that had been identified by another computer. But the head-to-head confrontation in which he won 14 of 15 games was undertaken without direct computer support. The triumph, which has not previously been reported, highlighted a weakness in the best Go computer programs that is shared by most of today's widely used AI systems, including the ChatGPT chatbot created by San Francisco-based OpenAI. The tactics that put a human back on top on the Go board were suggested by a computer program that had probed the AI systems looking for weaknesses. The suggested plan was then ruthlessly delivered by Pelrine."

"A problem arises, though, when that content misleads us. When a purported "symptom" of anxiety is, actually, just a universal, everyday experience. When the information is flawed, or the people providing it are ill-informed. When viewers, many of whom are children and teens, don't realize that a TikTok diagnosis cannot replace treatment by a professional."

"The technology certainly has its flaws. While the system is theoretically designed not to cross some moral red lines - it's adamant that Hitler was bad - it's not difficult to trick the AI into sharing advice on how to engage in all sorts of evil and nefarious activities, particularly if you tell the chatbot that it's writing fiction. The system, like other AI models, can also say biased and offensive things. As my colleague Sigal Samuel has explained, an earlier version of GPT generated extremely Islamophobic content, and also produced some pretty concerning talking points about the treatment of Uyghur Muslims in China."

"A recent incident at a company has led to the dismissal of half its HR team after a manager discovered a significant flaw in the applicant tracking system (ATS) used for hiring. This system, intended to improve the recruitment process, was automatically rejecting all job candidates, including the manager's own application."

""We have only examined a tiny fraction of this code base and found a critical, election-stealing issue," said Lewis, who is currently executive director of the Open Privacy Research Society, a Canadian nonprofit that develops secure and privacy-enhancing software for marginalized communities. "Even if this [backdoor] is closed its mere existence raises serious questions about the integrity of the rest of the code.""

"MEETINGS ON ZOOM, the increasingly popular video conferencing service, are encrypted using an algorithm with serious, well-known weaknesses, and sometimes using keys issued by servers in China, even when meeting participants are all in North America, according to researchers at the University of Toronto."