The study said tweaking a model after its initial phase of development was an importand factor in making it more persuasive. The study said tweaking a model after its initial phase of development was an importand factor in making it more persuasive. Chatbots can sway political opinions but are'substantially' inaccurate, study finds'Information-dense' AI responses are most persuasive but these tend to be less accurate, says security report Chatbots can sway people's political opinions but the most persuasive artificial intelligence models deliver "substantial" amounts of inaccurate information in the process, according to the UK government's AI security body. Researchers said the study was the largest and most systematic investigation of AI persuasiveness to date, involving nearly 80,000 British participants holding conversations with 19 different AI models. The AI Security Institute carried out the study amid fears that chatbots can be deployed for illegal activities including fraud and grooming.

Several legal experts have told BBC Verify that the second strike on an alleged Venezuelan drug boat by the US military was probably illegal, and would likely be considered an extrajudicial killing under international law. On Monday, the Trump administration confirmed that a follow-up strike on the boat - which has been criticised as a double tap - was ordered by US Navy Admiral Frank Bradley with the overall operation having been authorised by War Secretary Pete Hegseth. Nine people died in the first strike on the vessel and two survivors were left clinging to the burning wreckage when it was struck again, killing them, according to the Washington Post. A US official has said four missiles were used in the operation. The Trump administration has not denied there were survivors and has insisted the strikes on 2 September were in accordance with the law of armed conflict.

Spain and The Netherlands will boycott next year's Eurovision Song Contest, after Israel was allowed to compete. They were among a number of countries who had called for Israel to be excluded over the humanitarian toll of the war in Gaza, and accusations of unfair voting practices. Despite calls for a vote on Israel's participation, members instead approved a new set of rules intended to protect the integrity of the contest. In a statement, Dutch broadcaster Avrotros said that participation under the current circumstances is incompatible with the public values that are essential to us. Spanish broadcaster RTVE added: The board of directors of RTVE agreed last September that Spain would withdraw from Eurovision if Israel was part of it.

Pots, quadrants, confederation constraints, group position grids... the 2026 World Cup finals draw on Friday is not going to be a straightforward affair. There's a lot to unpack so we're going to explain it as simply as we can. Luckily, Fifa will have a computer to do most of the heavy lifting and make sure everything runs smoothly. Though as Uefa found out in 2021, sometimes technology does go wrong. Let's hope there will be no gremlins in Washington once the draw ceremony kicks off.

Charlotte Owen: 'The Lords were blown away by these brilliant women.' Charlotte Owen: 'The Lords were blown away by these brilliant women.' 'I don't take no for an answer': how a small group of women changed the law on deepfake porn For Jodie*, watching the conviction of her best friend, and knowing she helped secure it, felt at first like a kind of victory. It was certainly more than most survivors of deepfake image-based abuse could expect. They had met as students and bonded over their shared love of music. In the years since graduation, he'd also become her support system, the friend she reached for each time she learned that her images and personal details had been posted online without her consent.

Team GB Olympic and Paralympic athletes are being offered a new form of artificial intelligence-based protection from online abuse. UK Sport, the body that funds Olympic and Paralympic sports, has signed a contract worth more than £300,000 to give thousands of athletes access to an app that detects and hides abusive posts sent by other users on social media. Athletes are able to sign up for free and can protect their accounts throughout the Games cycle up to Los Angeles 2028. The level of abuse our athletes are facing online is unacceptable - to do nothing about this is not an option, UK Sport director of performance Kate Baker said about a deal that is the first of its kind in British sport. The app, called Social Protect, uses AI to try to ensure athletes see as few abusive messages sent their way as possible.

Police accused of'homophobic assumptions' over victims of blackmail on Grindr Police failed to properly investigate allegations that a gang was blackmailing men on the gay dating app Grindr, the BBC can reveal. Our investigation has learned of five cases of suspected blackmail involving victims targeted on Grindr in one area, with at least four of them connected to the same gang, which remains at large. In one instance, a suspected victim killed himself 24 hours after a group of men turned up at his home demanding he hand over his new Range Rover. The Independent Office for Police Conduct (IOPC) watchdog has told Hertfordshire Police - the investigating force - to examine whether homophobic assumptions could have contributed to failures in the investigation. Hertfordshire Police said it was unable to discuss specific points about the case, which has now been reopened, but said it is committed to building and maintaining good working relationships with the LGBTQ+ communities.

Facial recognition technology could be used more often by UK police forces, according to new plans announced by the Home Office. Policing and crime minister Sarah Jones said a widespread rollout of the equipment could mark the biggest breakthrough in catching criminals since DNA matching. People are being asked for their views on its use, as part of a 10-week consultation launched on Thursday, possibly paving the way for new laws. Jones credited the technology for helping to arrest thousands of criminals, but campaign group Big Brother Watch said increased use would make George Orwell roll in his grave. Facial recognition is used to locate wanted suspects and find vulnerable people.

High quality data is needed to unlock the full potential of AI for end users. However finding new sources of such data is getting harder: most publicly-available human generated data will soon have been used. Additionally, publicly available data often is not representative of users of a particular system -- for example, a research speech dataset of contractors interacting with an AI assistant will likely be more homogeneous, well articulated and self-censored than real world commands that end users will issue. Therefore unlocking high-quality data grounded in real user interactions is of vital interest. However, the direct use of user data comes with significant privacy risks. Differential Privacy (DP) is a well established framework for reasoning about and limiting information leakage, and is a gold standard for protecting user privacy. The focus of this work, \emph{Differentially Private Synthetic data}, refers to synthetic data that preserves the overall trends of source data,, while providing strong privacy guarantees to individuals that contributed to the source dataset. DP synthetic data can unlock the value of datasets that have previously been inaccessible due to privacy concerns and can replace the use of sensitive datasets that previously have only had rudimentary protections like ad-hoc rule-based anonymization. In this paper we explore the full suite of techniques surrounding DP synthetic data, the types of privacy protections they offer and the state-of-the-art for various modalities (image, tabular, text and decentralized). We outline all the components needed in a system that generates DP synthetic data, from sensitive data handling and preparation, to tracking the use and empirical privacy testing. We hope that work will result in increased adoption of DP synthetic data, spur additional research and increase trust in DP synthetic data approaches.

In cell culture bioprocessing, real-time batch process monitoring (BPM) refers to the continuous tracking and analysis of key process variables such as viable cell density, nutrient levels, metabolite concentrations, and product titer throughout the duration of a batch run. This enables early detection of deviations and supports timely control actions to ensure optimal cell growth and product quality. BPM plays a critical role in ensuring the quality and regulatory compliance of biopharmaceutical manufacturing processes. However, the development of accurate soft sensors for BPM is hindered by key challenges, including limited historical data, infrequent feedback, heterogeneous process conditions, and high-dimensional sensory inputs. This study presents a comprehensive benchmarking analysis of machine learning (ML) methods designed to address these challenges, with a focus on learning from historical data with limited volume and relevance in the context of bioprocess monitoring. We evaluate multiple ML approaches including feature dimensionality reduction, online learning, and just-in-time learning across three datasets, one in silico dataset and two real-world experimental datasets. Our findings highlight the importance of training strategies in handling limited data and feedback, with batch learning proving effective in homogeneous settings, while just-in-time learning and online learning demonstrate superior adaptability in cold-start scenarios. Additionally, we identify key meta-features, such as feed media composition and process control strategies, that significantly impact model transferability. The results also suggest that integrating Raman-based predictions with lagged offline measurements enhances monitoring accuracy, offering a promising direction for future bioprocess soft sensor development.