Dolly Parton says she's never forgotten the little girl she used to be, and although she's getting older, she has no plans to slow down. Although not a new concept, the idea of immortalizing a human through holograms, potentially AI-created, is becoming more relevant as it gets discussed by Hollywood stars. Both country legend Dolly Parton and actor and media personality Whoopi Goldberg have recently noted their aversion to the permanency holograms allow, with Goldberg going so far as to make legal provisions against the technology in her will. Fox News Digital spoke with an expert who said that while certain steps can be taken to protect your name and likeness while alive, things become a whole different ball game after death. JUSTINE BATEMAN RIPS AI USE IN HOLLYWOOD, SAYS TECHNOLOGY IS'GETTING AWAY FROM BEING HUMAN' Dolly Parton and Whoopi Goldberg have both expressed they have no desire to be made into a hologram after their death. "Unfortunately, in the age of AI, celebrities can never fully ensure that their name and likeness won't be used as a hologram post-mortem without their permission," Abe Lichy, partner and chair of the intellectual property practice at McLaughlin & Stern, tells Fox News Digital.

Google is developing artificial intelligence-enabled tools to help journalists research and write news articles, a development that is likely to rattle nerves across the media industry after years of painful job cuts. Google is working with media outlets, particularly with small publishers, to provide AI-powered tools to assist journalists with "options for headlines or different writing styles", the California-based tech giant said on Thursday. "Our goal is to give journalists the choice of using these emerging technologies in a way that enhances their work and productivity, just like we're making assistive tools available for people in Gmail and in Google Docs," Google spokeswoman Jenn Crider said in a statement, which described the company's "earliest stages of exploring ideas". "Quite simply, these tools are not intended to, and cannot, replace the essential role journalists have in reporting, creating, and fact-checking their articles." The global media industry has been decimated by successive rounds of layoffs amid a collapse in print advertising revenues, with US newsrooms alone shedding a record 17,436 jobs in the first five months of 2023.

Check-worthy claim detection aims at providing plausible misinformation to downstream fact-checking systems or human experts to check. This is a crucial step toward accelerating the fact-checking process. Many efforts have been put into how to identify check-worthy claims from a small scale of pre-collected claims, but how to efficiently detect check-worthy claims directly from a large-scale information source, such as Twitter, remains underexplored. To fill this gap, we introduce MythQA, a new multi-answer open-domain question answering(QA) task that involves contradictory stance mining for query-based large-scale check-worthy claim detection. The idea behind this is that contradictory claims are a strong indicator of misinformation that merits scrutiny by the appropriate authorities. To study this task, we construct TweetMythQA, an evaluation dataset containing 522 factoid multi-answer questions based on controversial topics. Each question is annotated with multiple answers. Moreover, we collect relevant tweets for each distinct answer, then classify them into three categories: "Supporting", "Refuting", and "Neutral". In total, we annotated 5.3K tweets. Contradictory evidence is collected for all answers in the dataset. Finally, we present a baseline system for MythQA and evaluate existing NLP models for each system component using the TweetMythQA dataset. We provide initial benchmarks and identify key challenges for future models to improve upon. Code and data are available at: https://github.com/TonyBY/Myth-QA

The Bipartite Polarization Problem is an optimization problem where the goal is to find the highest polarized bipartition on a weighted and labelled graph that represents a debate developed through some social network, where nodes represent user's opinions and edges agreement or disagreement between users. This problem can be seen as a generalization of the maxcut problem, and in previous work approximate solutions and exact solutions have been obtained for real instances obtained from Reddit discussions, showing that such real instances seem to be very easy to solve. In this paper, we investigate further the complexity of this problem, by introducing an instance generation model where a single parameter controls the polarization of the instances in such a way that this correlates with the average complexity to solve those instances. The average complexity results we obtain are consistent with our hypothesis: the higher the polarization of the instance, the easier is to find the corresponding polarized bipartition.

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Through this initiative, we have brought together 137 datasets and 118 standardized data loaders. The quality of the datasets has been assessed manually and automatically, and their value is demonstrated through multiple experiments. NusaCrowd's data collection enables the creation of the first zero-shot benchmarks for natural language understanding and generation in Indonesian and the local languages of Indonesia. Furthermore, NusaCrowd brings the creation of the first multilingual automatic speech recognition benchmark in Indonesian and the local languages of Indonesia. Our work strives to advance natural language processing (NLP) research for languages that are under-represented despite being widely spoken.

This research studies the impact of online news on social and economic consumer perceptions through semantic network analysis. Using over 1.8 million online articles on Italian media covering four years, we calculate the semantic importance of specific economic-related keywords to see if words appearing in the articles could anticipate consumers' judgments about the economic situation and the Consumer Confidence Index. We use an innovative approach to analyze big textual data, combining methods and tools of text mining and social network analysis. Results show a strong predictive power for the judgments about the current households and national situation. Our indicator offers a complementary approach to estimating consumer confidence, lessening the limitations of traditional survey-based methods.

Fox News anchor Julie Banderas reacts to the vice president's gaffe and CNN calling Dylan Mulvaney a man on'Jesse Watters Primetime.' Former chief from Google Mo Gawdat warned that artificial intelligence could lead to a "very significant redesign of love and relationships." The ex-Google X chief business officer recently appeared on an episode of the Impact Theory with Tom Bilyeu podcast, where the two discussed the future implications of AI simulating sex and relationships. "Just think about all of the illusions that we're now unable to decipher illusion from truth, right? Sex happens in the brain at the end of the day, I mean the physical side of it is not that difficult to simulate okay? But if we can convince you that this sex robot is alive or that sex experience in a virtual reality headset or an augmented reality headset is real, then there you go," he said.

Justine Bateman told Fox News Digital that using artificial intelligence to write a script is not solving any problems, as there is no lack of talent in the industry. Oscar-winning filmmaker James Cameron says he believes the future "weaponization" of artificial intelligence is the "biggest danger." "I think the weaponization of AI is the biggest danger," the "Titanic" director told Canadian CTV on Tuesday. "I think that we will get into the equivalent of a nuclear arms race with AI, and if we don't build it, the other guys are for sure going to build it, and so then it'll escalate," Cameron explained. "You could imagine an AI in a combat theater, the whole thing just being fought by the computers at a speed humans can no longer intercede, and you have no ability to deescalate," he continued.

Google has a complicated relationship with the news industry. As the company rapidly grew through the first two decades of the 2000s, it gobbled up huge portions of the advertising industry, decimating the news business globally. Local and regional papers that had relied on classified and local ads for decades saw their revenue crater, and thousands of them have shut down in the United States alone, leaving many towns without a news source beyond social media. Larger outlets pivoted toward online subscriptions, trying to avoid relying on an increasingly small share of the advertising market.

A US company says it has cracked the formula for making an episode of South Park using artificial intelligence – and it allows users to be the star of the show. Fable Simulation has created an AI tool that can create brief original episodes of the cartoon. It animates, it does the voices, it does the editing," the company's chief executive, Edward Saatchi, told the GamesBeat website. The tool, called AI Showrunner, allows users to enter a one- or two-sentence prompt that then generates an episode, and can create a character based on the user's own looks and voice. Generative AI, the catch-all term for tech systems that produce convincing text and images from prompts, has gripped the public imagination since the launch of ChatGPT in November. It has also played a part in Hollywood actors joining writers on the picket lines over wages, technology and how to divide the profits of the digital streaming era. "We did the South Park episode as an example and for research to show generative TV.