Conversational recommender systems (CRS) generate recommendations through an interactive process. However, not all CRS approaches use human conversations as their source of interaction data; the majority of prior CRS work simulates interactions by exchanging entity-level information. As a result, claims of prior CRS work do not generalise to real-world settings where conversations take unexpected turns, or where conversational and intent understanding is not perfect. To tackle this challenge, the research community has started to examine holistic CRS, which are trained using conversational data collected from real-world scenarios. Despite their emergence, such holistic approaches are under-explored. We present a comprehensive survey of holistic CRS methods by summarizing the literature in a structured manner. Our survey recognises holistic CRS approaches as having three components: 1) a backbone language model, the optional use of 2) external knowledge, and/or 3) external guidance. We also give a detailed analysis of CRS datasets and evaluation methods in real application scenarios. We offer our insight as to the current challenges of holistic CRS and possible future trends.

Credibility signals represent a wide range of heuristics that are typically used by journalists and fact-checkers to assess the veracity of online content. Automating the task of credibility signal extraction, however, is very challenging as it requires high-accuracy signal-specific extractors to be trained, while there are currently no sufficiently large datasets annotated with all credibility signals. This paper investigates whether large language models (LLMs) can be prompted effectively with a set of 18 credibility signals to produce weak labels for each signal. We then aggregate these potentially noisy labels using weak supervision in order to predict content veracity. We demonstrate that our approach, which combines zero-shot LLM credibility signal labeling and weak supervision, outperforms state-of-the-art classifiers on two misinformation datasets without using any ground-truth labels for training. We also analyse the contribution of the individual credibility signals towards predicting content veracity, which provides new valuable insights into their role in misinformation detection.

The National Book Foundation has dropped Drew Barrymore as the host of its upcoming awards ceremony after the actress resumed production on her talk show, crossing the picket lines of the ongoing writers' strike. On Monday, she confirmed that the Drew Barrymore Show will begin filming its newest season without writers on staff--prompting criticism from several novelists about Barrymore's involvement in the awards show. "The National Book Awards is an evening dedicated to celebrating the power of literature, and the incomparable contributions of writers to our culture," the National Book Foundation said in a statement Tuesday, according to NPR. "In light of the announcement that'The Drew Barrymore Show' will resume production, the National Book Foundation has rescinded Ms. Barrymore's invitation to host the 74th National Book Awards Ceremony." For more than four months, the Writers' Guild of America, in a historic double strike with unionized actors, has been fighting for better working conditions, including increased pay and contractual protections related to the use of artificial intelligence. While initially Barrymore was supportive of the writers' strike, even declining to host an MTV award show in solidarity, the actress has seemingly pulled a full 180, saying in a statement that she owns "this choice" and is in "compliance with not discussing or promoting film and television that is struck of any kind."

The'America's Got Talent' judge told Fox News Digital why he doesn't like AI technology in songwriting. FORCE OF THE FUTURE: Tech company boasts its AI can predict crime with social media policing. 'RAISES QUESTIONS': Why Joe Biden's plan to'watermark' AI-generated content may be next to impossible. ARTIFICIAL-AWARENESS: A surveillance and sensor technologies provider is working to provide AI-informed video surveillance to detect weapons and other threats at schools. Iveda CEO and founder David Ly said that Iveda's AI surveillance system can be easily installed within existing video security networks.

This week, Stephen and Dana are joined by guest host Kat Chow, journalist and author of the 2021 memoir Seeing Ghosts. The panel begins by wading through HELL, Chris Fleming's new hour-long comedy special that's both puzzling and delightfully goofy. Then, the three consider Astrakan, a deeply dark and unsettling first feature from director David Depesseville, and attempt to parse through the film's (intentionally?) Finally, they conclude by discussing Rotten Tomatoes, the widely used critical review aggregation site and subject of the recent Vulture exposé by Lane Brown, "The Decomposition of Rotten Tomatoes," which details a "gaming of the system" by Hollywood PR teams. In the exclusive Slate Plus segment, the panel dives into the 2023 U.S. Open, specifically the effect of extreme heat on gameplay and how the sport will need to contend with climate change going forward.

Haywood Talcove, CEO of LexisNexis Risk Solutions Government Group, tells Fox News Digital that criminal groups, mostly in other countries, are advertising on social media to market their AI capabilities for fraud and other crimes. Google is set to require political advertising that uses artificial intelligence to generate images or sounds come with a visible disclosure for users. "AI-generated content should absolutely be disclosed in political advertisements. Not doing so leaves the American people open to misleading and predatory campaign ads," Ziven Havens, the Policy Director at the Bull Moose Project, told Fox News Digital. "In the absence of government action, we support the creation of new rulemaking to handle the new frontier of technology before it becomes a major problem" Havens' comments come after Google revealed last week that it will start requiring the disclosure of the use of AI to alter images in political ads starting in November, a little more than a year before the 2024 election, according to a PBS report.

The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a healthy society, it is challenging for automated systems. In this paper, we propose an interactive framework for news media profiling. It combines the strengths of graph based news media profiling models, Pre-trained Large Language Models, and human insight to characterize the social context on social media. Experimental results show that with as little as 5 human interactions, our framework can rapidly detect fake and biased news media, even in the most challenging settings of emerging news events, where test data is unseen.

We aim to provide a general framework of for computational photography that recovers the real scene from imperfect images, via the Deep Nonparametric Convexified Filtering (DNCF). It is consists of a nonparametric deep network to resemble the physical equations behind the image formation, such as denoising, super-resolution, inpainting, and flash. DNCF has no parameterization dependent on training data, therefore has a strong generalization and robustness to adversarial image manipulation. During inference, we also encourage the network parameters to be nonnegative and create a bi-convex function on the input and parameters, and this adapts to second-order optimization algorithms with insufficient running time, having 10X acceleration over Deep Image Prior. With these tools, we empirically verify its capability to defend image classification deep networks against adversary attack algorithms in real-time.

On Tuesday, September 12, at 12 p.m. US Eastern time, we will be hosting a subscriber-only roundtable conversation about how to regulate artificial intelligence. I'll help you decipher what is going on in AI regulation and what to pay attention to this fall. On Thursday, September 14, at 12 p.m. US Eastern time, I am interviewing Gareth Edwards, the director behind Rogue One: A Star Wars Story, about his new film, The Creator. The film is about the current state of AI and the pitfalls and possibilities ahead as this technology marches toward sentience. Lawmakers are back from summer vacation and ready for action.

Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on "Special Report." FIRST ON FOX: A new Senate Republican-led bill aims to make sure Americans are well aware of what is real online and how to spot content generated by artificial intelligence (AI). Sen. Pete Ricketts, R-Neb., is introducing legislation on Tuesday to direct relevant federal agencies to coordinate on the creation of a watermark for AI-made content, including enforcement rules. That watermark would then be required on any publicly distributed AI images, videos and other materials. "With Americans consuming more media than ever before, the threat of weaponized disinformation confusing and dividing Americans is real," Ricketts told Fox News Digital.