We demonstrate the utility of this resource and accompanying metamodel through application to existing legal frameworks and industry standards, offering insights for comparative framework analysis. Applications include compliance policy enforcement, compliance monitoring, data discovery, and risk assessment.

The adaptation to users' preferences and the ability to infer and interpret humans' beliefs and intents, which is known as the Theory of Mind (ToM), are two crucial aspects for achieving effective human-robot collaboration. Despite its importance, very few studies have investigated the impact of adaptive robots with ToM abilities. In this work, we present an exploratory comparative study to investigate how social robots equipped with ToM abilities impact users' performance and perception. We design a two-layer architecture. The Q-learning agent on the first layer learns the robot's higher-level behaviour. On the second layer, a heuristic-based ToM infers the user's intended strategy and is responsible for implementing the robot's assistance, as well as providing the motivation behind its choice. We conducted a user study in a real-world setting, involving 56 participants who interacted with either an adaptive robot capable of ToM, or with a robot lacking such abilities. Our findings suggest that participants in the ToM condition performed better, accepted the robot's assistance more often, and perceived its ability to adapt, predict and recognise their intents to a higher degree. Our preliminary insights could inform future research and pave the way for designing more complex computation architectures for adaptive behaviour with ToM capabilities.

We propose to use affect as a proxy for mood in literary texts. In this study, we explore the differences in computationally detecting tone versus detecting mood. Methodologically we utilize affective word embeddings to look at the affective distribution in different text segments. We also present a simple yet efficient and effective method of enhancing emotion lexicons to take both semantic shift and the domain of the text into account producing real-world congruent results closely matching both contemporary and modern qualitative analyses. I INTRODUCTION In this study, we explore how the literary concept of mood can be studied and detected with computational methods.

It's been decades since algorithmic trading transformed Wall Street with its high-frequency trading, and years since the financial services industry began to integrate artificial intelligence in areas such as fraud detection, lending decisions and robo-advisory services. Yet the recent explosion of generative AI tools like ChatGPT – providing human-like text on seemingly any subject and any style so successfully it easily conquers the vaunted Turing Test – has opened the floodgates of possibilities. The advent of such a power language processor like ChatGPT – open source and available for public use – threatens to upend various parts of the financial services industry, spanning beyond areas such as chat bots and robo-advisors to even the workforce needed in something as skilled as coding. As artificial intelligence reaches a crucial tipping point – and AI bias lingers – whether the proper private and public controls are put in place ahead of the technology's dizzying progress becomes even more urgent yet challenging. In a recent Nvidia survey, 78 percent of financial services companies said they use at least one kind of artificial intelligence tool.

After a year's hiatus, the AI Debate hosted by Gary Marcus and Vincent Boucher returned with a gaggle of AI thinkers, this time including policy types and scholars outside of the discipline of AI such as Noam Chomsky. After a one-year hiatus, the annual artificial intelligence debate organized by Montreal.ai Learn about the leading tech trends the world will lean into over the next 12 months and how they will affect your life and your job. The debate this year, AI Debate 3: The AGI Debate, as it's called, focused on the concept of artificial general intelligence, the notion of a machine capable of integrating a myriad of reasoning abilities approaching human levels. While the previous debate featured a number of AI scholars, Friday's meet-up drew participation by 16 participants from a much wider gamut of professional backgrounds. In addition to numerous computer scientists and AI luminaries, the program included legendary linguist and activist Noam Chomsky, computational neuroscientist Konrad Kording, and Canadian parliament member Michelle Rempel Garner. Also: AI's true goal may no longer be intelligence Marcus was once again joined by his co-host, Vincent Boucher of Montreal.ai. The debate ran longer than planned. The full 3.5 hours can be viewed on the YouTube page for the debate. The debate Web site is agidebate dot com. In addition, you may want to follow the hashtag #agidebate. NYU professor emeritus and AI gadfly Gary Marcus resumed his duties hosting the multi-scholar face-off. Marcus started things off with a slide show of a "very brief history of AI," tongue firmly in cheek. Marcus said that contrary to enthusiasm in the decade following the landmark ImageNet success, the "promise" of machines doing various things had not paid off. He featured reference to his own New Yorker article throwing cold water on the matter.

In 2013, Jeff Bezos announced Amazon was developing a drone delivery service. He estimated at the time that air-dropped packages were "four, five years" away. Nearly a decade later, the service is promised to begin by the end of this year – albeit in only two locations in the US. According to David Carbon, an Australian expat and vice-president of the firm's drone delivery division, Amazon wants to deliver 500m packages annually by drone from 2030. Carbon told AAP earlier this month that the firm was planning a wider rollout for air deliveries in the US and potentially Australia.

Back in 1982, Andy Warhol was, somewhat infamously, turned into a robot. The machine was made by a Disney Imagineering veteran for a project that never really took off, but Warhol liked his animatronic self. "Machines have less problems," he once said. "I'd like to be a machine, wouldn't you?" The artist, who died in 1987, was a master of his own cult of personality, and the robot was practically a manifestation of how the world perceived him: meticulously crafted, if a bit rigid and monotone in his conversational style.

Emergent artificial intelligence and machine learning technologies are affecting all areas of technology, including online gambling and gaming. AI denotes the capability of machines and electronic systems to mimic functions that resemble the cognitive activity of the human mind. These include instances of automated learning or problem-solving. Such technologies are increasingly changing all walks of life. From Google to YouTube to Netflix, every widespread service and large company employ similar services.

"I don't think you'll ever figure [Andy] Warhol out, and I hope no one ever does," art critic Donna de Salvo says in the trailer for Netflix's upcoming docuseries, The Andy Warhol Diaries. Ironically, though, it is that very series--with the help of Warhol's diaries and some artificial intelligence--attempting to do just that. The Andy Warhol Diaries, a six-part series from super-producer Ryan Murphy will explore the life of the artist, from his birth in Pittsburgh to Austria-Hungarian immigrants to his immense fame, various relationships, and eventual death. For over ten years beginning in 1976, Warhol would often call up his longtime friend, journalist Pat Hackett, and dictate his diary to her, which she later edited and published in 1989. Now, Murphy and director Andrew Rossi are using Warhol's own words, and the testimonials of everyone from John Waters and Debbie Harry to Rob Lowe, to dive into the still-mysterious life of the icon.

Ryan Murphy has produced a six-part documentary series about Andy Warhol that premieres on Netflix on March 9. If you're interested in art, culture, or the American temperament, you'll probably find something in "The Andy Warhol Diaries," which is directed by Andrew Rossi. Among those interviewed: John Waters, Spike Lee, Rob Lowe, Julian Schnabel, and Debbie Harry. The series has constructed Warhol's voice with the help of artificial intelligence, and we will hear that voice reading passages from his diaries. Beginning in 1976 until days before his death in 1987, Warhol dictated his diary entries on the phone to journalist Pat Hackett, and they were published in 1989.