When we post to a group chat or talk to an AI chatbot, we don't think about how these technologies came to be. We take it for granted we can instantly communicate. We only notice the importance and reach of these systems when they're not accessible. Companies describe these systems with metaphors such as the "cloud" or "artificial intelligence", suggesting something intangible. But they are deeply material.

A new report found the British Broadcasting Corporation (BBC) guilty of violating its own editorial guidelines over a thousand times in its coverage of the Israel-Hamas war. According to The Telegraph, the report analyzed four months of BBC output on television, radio, online, podcasts and on social media during the height of the conflict and found a "deeply worrying pattern of bias" against Israel. British lawyer Trevor Asserson and a team of about 20 lawyers and 20 data scientists used artificial intelligence to analyze nine million words from the news outlet, starting the day of the October 7, 2023, terror attack. The researchers allegedly identified 1,553 instances where the BBC violated its own editorial guidelines on impartiality, accuracy, editorial values and public interest. Hundreds attend a protest called by the National Jewish Assembly, The Campaign Against Antisemitsim and the UK Lawyers for Israel at the BBC Broadcasting House on October 16, 2023, in London, England.

Link prediction is a key problem for network-structured data, attracting considerable research efforts owing to its diverse applications. The current link prediction methods focus on general networks and are overly dependent on either the closed triangular structure of networks or node attributes. Their performance on sparse or highly hierarchical networks has not been well studied. On the other hand, the available tree-like benchmark datasets are either simulated, with limited node information, or small in scale. To bridge this gap, we present a new benchmark dataset TeleGraph, a highly sparse and hierarchical telecommunication network associated with rich node attributes, for assessing and fostering the link inference techniques. Our empirical results suggest that most of the algorithms fail to produce a satisfactory performance on a nearly tree-like dataset, which calls for special attention when designing or deploying the link prediction algorithm in practice.

Summer is here and with that comes the perfect time to get outside and enjoy the sunshine. Whether you're a fitness enthusiast, an outdoor enthusiast, or just someone who loves to relax, there are plenty of activities to choose from when it comes to summertime fun. For fitness lovers, it's the perfect time to get outside and enjoy the warm weather. Hiking, running, biking, and swimming are all great options for workouts that can improve physical and mental health. For outdoor enthusiasts, summertime can be a great time to explore the great outdoors.

A grandmother was able to answer questions at her own funeral last month with the help of new Artificial Intelligence (AI) powered "holographic" video technology. Holocaust educator Marina Smith passed away in June at the age of 87. However, an AI tool called StoryFile, built by her son's firm, meant those attending her funeral could watch her respond to their questions about her life, reports The Telegraph. Prior to her death, Smith had previously recorded hours' worth of details about her life, many of which were unknown to mourners. By using 20 synchronous cameras to film her answering a series of questions, StoryFile was able to create a digital clone of Smith.

Polarization and echo chambers are often studied in the context of explicitly political events such as elections, and little scholarship has examined the mixing of political groups in non-political contexts. A major obstacle to studying political polarization in non-political contexts is that political leaning (i.e., left vs right orientation) is often unknown. Nonetheless, political leaning is known to correlate (sometimes quite strongly) with many lifestyle choices leading to stereotypes such as the "latte-drinking liberal." We develop a machine learning classifier to infer political leaning from non-political text and, optionally, the accounts a user follows on social media. We use Voter Advice Application results shared on Twitter as our groundtruth and train and test our classifier on a Twitter dataset comprising the 3,200 most recent tweets of each user after removing any tweets with political text. We correctly classify the political leaning of most users (F1 scores range from 0.70 to 0.85 depending on coverage). We find no relationship between the level of political activity and our classification results. We apply our classifier to a case study of news sharing in the UK and discover that, in general, the sharing of political news exhibits a distinctive left-right divide while sports news does not.

Dozens of firms within the UK, from Unilever to Deloitte, have used synthetic intelligence (AI) to analyse the language, tone and even facial expressions of candidates when they're requested a set of equivalent job questions which they movie on their cell phone or laptop computer. The algorithms choose the most effective candidates by assessing their performances within the movies towards tens of 1000's of items of linguistic and facial info compiled from earlier interviews of those that have gone on to show to be good on the job. Hirevue, a US firm which has developed AI interview expertise, claims it permits hiring corporations to interview extra candidates within the preliminary stage slightly than merely counting on CVs and that it offers a extra dependable and goal indicator of future efficiency freed from human bias. Dozens of firms together with Deloitte, Nationwide Grid, Tesco, Jet2, Grant Thornton, AstraZeneca, Channel 4 and even the Authorities's Division for Enterprise, Vitality and Industrial Technique have used Hirevue, in accordance with its shopper checklist seen by The Telegraph. Nevertheless, John Edwards, the knowledge commissioner, mentioned the usage of AI for interviews would now be investigated due to considerations that the businesses could possibly be deploying such AI expertise for interviews "with out doing due diligence".

Last year, it was reported that Amazon planned to use AI-equipped cameras to surveil delivery drivers on their routes. Now, the company has started installing such cameras on its vans in the UK, according to The Telegraph. The action has created concern from privacy groups who called it "excessive" and "creepy." Amazon will use a pair of cameras to record footage from inside vans and out to the road. They're designed to detect road violations or poor driver practices and give an audio alert, while collecting data Amazon can use later to evaluate drivers.

United Nations delegates are currently meeting to debate possible regulations controlling autonomous killer robots -- but Russia is having none of it. The Russian delegate, representing a country that has already developed and deployed military robots in real-world conflicts, remained steadfast that the global community doesn't need any new rules or regulations to govern the use of killer robots, The Telegraph reports. That pits Russia against much of the rest of the international community, who are calling for rules to keep humans in charge of the decision to open fire, highlighting on the main anxieties and ethical conundrums surrounding autonomous weaponry. The argument from Russia is that the AI algorithms driving these killer robots are already advanced enough to differentiate friend from foe from civilian, and that therefore there's no need to burden the autonomous death machines with unnecessary regulations. "The high level of autonomy of these weapons allows [them] to operate within a dynamic conflict situation and in various environments while maintaining an appropriate level of selectivity and precision," the delegate said, according to The Telegraph.

Countries around the world – including the US, South Korea and Taiwan – are using artificial intelligence (AI) to help slow the spread of COVID-19. The technology is being used to speed up the development of testing kits and treatments, to track the spread of the virus, and to provide citizens with real-time information. In South Korea, the government mobilised the private sector to begin developing coronavirus testing kits soon after reports of a new virus began to emerge from China. As part of this drive, Seoul-based molecular biotech company Seegene used AI to speed up the development of testing kits, enabling it to submit its solution to the Korea Centers for Disease Control and Prevention (KCDC) three weeks after scientists began working on it. The company's founder and chief executive, Chun Jong-yoon, told CNN that had AI not been used, the process would have taken two to three months.