Tech Policy Center director Kara Fredrick explains how individuals and companies can mitigate the spread of misinformation by A.I. on'The Faulkner Focus.' British election regulators have urged politicians to pass new laws to limit spending on artificial intelligence (AI) as well as new requirements to identify AI-generated content. "The next U.K. general election is a ripe target for electronic disinformation given we are in the infancy of the AI age," Alan Mendoza, co-founder and executive director of the Henry Jackson Society, told Fox News Digital. "Many of the possible problems that may emerge have not even been considered." "As a result, we face a race against the clock to introduce appropriate protections, or run the nightmare risk of bad actors influencing campaigns and destroying public trust in our democratic process," he added.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Turkish drone attack killed two Kurdish local officials and their driver in northeast Syria on Tuesday in the latest such strike in the war-torn country, officials said, as talks on Syria's conflict began in Kazakhstan. The Kurdish-led authority in northeast Syria said Tuesday's strike hit a car near the town of Qamishli, killing the co-chairperson of the town's council, Yusra Darwish, and her deputy, Liman Shweish, as well as their driver. An additional local officials was wounded in the attack.

Social media platforms influence the way political campaigns are run and therefore they have become an increasingly important tool for politicians to directly interact with citizens. Previous elections in various countries have shown that social media data may significantly impact election results. In this study, we aim to predict the vote shares of parties participating in the 2023 elections in Turkey by combining social media data from various platforms together with traditional polling data. Our approach is a volume-based approach that considers the number of social media interactions rather than content. We compare several prediction models across varying time windows. Our results show that for all time windows, the ARIMAX model outperforms the other algorithms.

On the evening of Turkey's most significant elections of the past two decades, Can Semercioğlu went to bed early. For the past seven years, Semercioğlu has worked for Teyit, the largest independent fact-checking group in Turkey, but that Sunday, May 14, was surprisingly one of the quietest nights he remembers at the organization. Before the vote, opinion polls had suggested that incumbent president Recep Tayyip Erdoğan was losing support due to devastating earthquakes in southeastern Turkey that killed nearly 60,000 people and a struggling economy. However, he still managed to secure just under 50 percent of the vote. His main opponent, Kemal Kılıçdaroğlu, who heads the Millet Alliance group of opposition parties, received around 45 percent, meaning the two will face off in a second round scheduled for May 28. "That night we didn't have much work to do because people were talking about the results," Semercioğlu says.

With the rise of task-specific pre-training objectives, abstractive summarization models like PEGASUS offer appealing zero-shot performance on downstream summarization tasks. However, the performance of such unsupervised models still lags significantly behind their supervised counterparts. Similarly to the supervised setup, we notice a very high variance in quality among summary candidates from these models while only one candidate is kept as the summary output. In this paper, we propose to re-rank summary candidates in an unsupervised manner, aiming to close the performance gap between unsupervised and supervised models. Our approach improves the unsupervised PEGASUS by up to 7.27% and ChatGPT by up to 6.86% relative mean ROUGE across four widely-adopted summarization benchmarks ; and achieves relative gains of 7.51% (up to 23.73% from XSum to WikiHow) averaged over 30 zero-shot transfer setups (finetuning on a dataset, evaluating on another).

Sequence-to-sequence neural networks have recently achieved great success in abstractive summarization, especially through fine-tuning large pre-trained language models on the downstream dataset. These models are typically decoded with beam search to generate a unique summary. However, the search space is very large, and with the exposure bias, such decoding is not optimal. In this paper, we show that it is possible to directly train a second-stage model performing re-ranking on a set of summary candidates. Our mixture-of-experts SummaReranker learns to select a better candidate and consistently improves the performance of the base model. With a base PEGASUS, we push ROUGE scores by 5.44% on CNN-DailyMail (47.16 ROUGE-1), 1.31% on XSum (48.12 ROUGE-1) and 9.34% on Reddit TIFU (29.83 ROUGE-1), reaching a new state-of-the-art. Our code and checkpoints will be available at https://github.com/ntunlp/SummaReranker.

Sen. Pete Ricketts of Nebraska told Fox News Digital he's concerned about China's use of Artificial Intelligence after a report claimed pro-Chinese groups were spreading CCP propaganda using AI-generated news anchors. Turkish President Recep Tayyip Erdogan's main political opponent accused Russia of using deepfakes and other artificial intelligence (AI)-generated material to meddle in the country's upcoming presidential election. "The Russians have a vested interest in backing an Erdogan presidency to ensure that he basically stays in power, mainly because the Russians benefit [from] driving a wedge between Turkey and NATO, and they've been very successful about that in the last decade or so," Sinan Ciddi, non-resident senior fellow on Turkey at the Foundation for Defense of Democracies, told Fox News Digital. "So, in the last several days, weeks, it has been credibly reported by Turkish sources that Russian bot accounts, Twitter accounts, all sorts of disinformation campaigns have started pressing the thumb down on backing the Erdogan presidency, and that comes as no surprise." The election, scheduled for May 14 alongside parliamentary elections, has proven difficult for Erdogan as his election rival Kemal Kilicdaroglu maintains a slight lead in opinion polls.

Turkish defence firm Baykar aims to begin production of its new unmanned combat aerial vehicle next year which is already attracting international interest, its chairman Selcuk Bayraktar said. Named "Kizilelma", the drone expands the company's product range from slow, ground attack drones to fast and agile autonomous ones that work alongside fighter jets. "It is designed to be a highly autonomous, under human purview of course, air-to-air combat vehicle," said Bayraktar, who led the design of the 15-metre-long (49 feet) jet-powered weapon. "In a sense, the Kizilelma expresses a whole new future for combat aviation." Baykar has come to prominence internationally in recent years because of the company's light drone TB-2, which has been used in Ukraine, Azerbaijan, and North Africa and has been a huge export success, catapulting the firm to becoming one of the largest Turkish defence exporters.

In Libya, Bayraktar TB2 drones helped the official government in Tripoli stamp down an uprising by warlord Khalifa Haftar. In Nagorno-Karabakh, they played a decisive role in Azerbaijan's victory over Armenia, after which autocrat Ilham Aliyev celebrated by presenting footage of drone strikes on video screens in the capital city of Baku. The Ukrainians mainly deployed them in the first months of the war, before Russian air defenses adapted their strategy. The fact that the drones are supplied primarily to countries that are close to the Erdoğan government is conspicuous. Baykar is the flagship of Turkey's defense industry, which has grown tenfold since Erdoğan came to power in 2003.

Russia's President Vladimir Putin has told his Turkish counterpart Recep Tayyip Erdogan that Moscow would consider resuming a deal allowing grain exports from Ukrainian seaports but only after securing "real guarantees" from Kyiv. The phone call between the two leaders on Tuesday came following Russia's suspension of its participation in the deal due to what it said was a drone attack on Moscow's fleet in Crimea that it blamed on Ukraine. Kyiv has not claimed responsibility and has denied using the safe shipping corridor for military purposes. Putin told Erdogan that Russia sought "real guarantees from Kyiv about the strict observance of the Istanbul agreement, in particular about not using the humanitarian corridor for military purposes", according to a statement from the Kremlin. The grain export deal between Russia and Ukraine was brokered by Turkey and the United Nations in July to ease a world food crisis caused in part by Moscow's invasion of Ukraine, a major grain producer, and an earlier blockade of its ports.