By taking a tiny snippet of real audio - just three seconds is enough - from a person, fraudsters can'clone' the individual's voice using freely available AI tools. By taking a tiny snippet of real audio - just three seconds is enough - from a person, fraudsters can'clone' the individual's voice using freely available AI tools. It's an emergency': your child's voicemail that could be a scam Steps to help combat fraud in which criminals use AI-generated replica of a person's voice to deceive victims T he voicemail from your son is alarming. He has just been in a car accident and is highly stressed. He needs money urgently, although it is not clear why, and he gives you some bank details for a transfer.

A Canadian politician was arrested this week after she claimed a threatening voicemail she allegedly sent to a fellow politician was AI-generated.

The incident was first revealed in the State Department cable that was dated 3 July and sent to "all diplomatic and consular posts," CBS News reported. The cable stated that a false Signal account was created in mid-June with the display name marco.rubio@state.gov. That account contacted at least five people. "The actor left voicemails on Signal for at least two targeted individuals, and in one instance, sent a text message inviting the individual to communicate on Signal," the cable stated, as reported by CBS. The cable did not identify the individuals that were contacted or what the AI-generated voice of Rubio said in those voicemails.

An unsuspecting grandmother received a shock after Apple's AI left her an X-rated message. Louise Littlejohn, 66, from Dunfermline in Scotland, had received an innocuous voice message from a car dealership in Motherwell on Wednesday. But Apple's AI-powered Visual Voicemail tool – which gives users text transcriptions of voice calls – completely botched the transcription. The jumbled text left on her iPhone asked if she had'been able to have sex' and called her a'piece of s***'. Confusingly, it said: 'Just be told to see if you have received an invite on your car if you've been able to have sex.'

A man from Massachusetts has agreed to plead guilty to a seven-year cyberstalking campaign that included using artificial intelligence (AI) chatbots to impersonate a university professor and invite men online to her home address for sex. James Florence, 36, used platforms such as CrushOn.ai and JanitorAI, which allow users to design their own chatbots and direct them how to respond to other users during chats, including in sexually suggestive and explicit ways, according to court documents seen by the Guardian. The victim's identity has been kept confidential by law enforcement officials. Florence admitted to using the victim's personal and professional information – including her home address, date of birth and family information to instruct the chatbots to impersonate her and engage in sexual dialogue with users, per court filings. He told the chatbots to answer "yes" in the guise of his victim when a user asked whether she was sexually adventurous and fed the AI responses of what underwear she liked to wear.

A New Jersey couple woke up to a 67-minute-long voicemail from an'unknown caller' - and discovered it was left by their Amazon Alexa. 'I was checking the message ... and was like, wait, this is me talking in the bedroom,' she said. Alexa can call your smartphone if you trigger the'Find My Phone' feature, but a company spokesperson said the Amazon Echo doesn't record or store conversations unless it hears the'wake word,' prompting a light on the device to turn on to let you know it's listening. Amazon has come under fire for its devices recording conversations and faced two separate privacy violation lawsuits last year, including a claim that it had violated children's privacy rights by refusing to remove the recording history of minors. A judge ruled that the company had to pay out a collective 30.8 million for both violations. 'There wasn't a lot of talking in the message, mostly bleeping,' Creegan said, but added that she could hear snippets of her telling Alexa to'turn the lights off' adding that there was'two or three sentences of me talking to the dog.

Influencer who used AI to dupe internet into thinking she caught her boyfriend cheating reveals she was inspired to do the skit because of real artificial voice scams. An influencer who made up a prank video claiming she used AI to catch her boyfriend cheating told Fox News her skit was a farce, but the voice-cloning technology she used to power the trick was not, and the skit was inspired by real scams. Mia Dio, a social media influencer with over 5 million TikTok followers, filmed a video of her using artificial intelligence to clone her boyfriend Billy's voice to see if he had cheated on her. The inspiration for the viral video came from reports of AI voice-cloning scams, she told Fox News. Dio used voicemails left by her boyfriend Billy to recreate his voice using AI software.

Apple users who are tired of that "ducking" autocorrect issue can now rejoice! The tech company announced Monday at this year's Worldwide Developers Conference that iOS 17 will ensure that autocorrected words are temporarily underlined so users know what has been changed and can quickly change the word back to what they originally meant to type. "Autocorrect is powered by on-device machine learning and over the years, we've continued to advance these models," said Craig Federighi, the company's software chief. "The keyboard now leverages a transformer language model, which is state of the art for word prediction, making autocorrect more accurate than ever." The autocorrect feature has been the subject of tweets, memes and other social media posts for years, often annoying already irritated people trying to drop a popular expletive by changing the word to "ducking."

We study safe policy improvement (SPI) for partially observable Markov decision processes (POMDPs). SPI is an offline reinforcement learning (RL) problem that assumes access to (1) historical data about an environment, and (2) the so-called behavior policy that previously generated this data by interacting with the environment. SPI methods neither require access to a model nor the environment itself, and aim to reliably improve the behavior policy in an offline manner. Existing methods make the strong assumption that the environment is fully observable. In our novel approach to the SPI problem for POMDPs, we assume that a finite-state controller (FSC) represents the behavior policy and that finite memory is sufficient to derive optimal policies. This assumption allows us to map the POMDP to a finite-state fully observable MDP, the history MDP. We estimate this MDP by combining the historical data and the memory of the FSC, and compute an improved policy using an off-the-shelf SPI algorithm. The underlying SPI method constrains the policy-space according to the available data, such that the newly computed policy only differs from the behavior policy when sufficient data was available. We show that this new policy, converted into a new FSC for the (unknown) POMDP, outperforms the behavior policy with high probability. Experimental results on several well-established benchmarks show the applicability of the approach, even in cases where finite memory is not sufficient.

A phone number is a personal identifier that people use to contact someone. While it may seem okay to hand out your number to everyone you meet, it's not always the best idea. If you're not careful, you could inadvertently give out your number to a scammer or someone with malicious intent. And that's where a secret phone number comes in handy. These numbers can be used for a variety of purposes, such as temporary business numbers, disposable numbers for online dating, or one-time use when signing up for new services.