'I think AI's going to change everything," Tamara Rojo, artistic director of San Francisco Ballet, told me earlier this year. "We just don't know quite how." The impact of artificial intelligence on the creative industries can already be seen across film, television and music, but to some extent dance seems insulated, as a form that so much relies on live bodies performing in front of an audience. But this week choreographers Aoi Nakamura and Esteban Lecoq, collectively known as AΦE, are launching what is billed as the world's first AI-driven dance production, Lilith.Aeon. Lilith, the performer, is an AI entity, who has co-created the work, with Nakamura and Lecoq. "She" will appear on an LED cube that the audience move around, their motion triggering Lilith's dance. Nakamura and Lecoq insist they're interested not in chasing the latest technology for its own sake but in enhancing their storytelling. Working as dancers with theatre company Punchdrunk turned them on to the idea of ...

The artificial intelligence (AI) industry began 2023 with a bang as schools and universities struggled with students using OpenAI's ChatGPT to help them with homework and essay writing. Less than a week into the year, New York City Public Schools banned ChatGPT – released weeks earlier to enormous fanfare – a move that would set the stage for much of the discussion around generative AI in 2023. As the buzz grew around Microsoft-backed ChatGPT and rivals like Google's Bard AI, Baidu's Ernie Chatbot and Meta's LLaMA, so did questions about how to handle a powerful new technology that had become accessible to the public overnight. In March, a group of more than 1,000 signatories, including Apple co-founder Steve Wozniak and billionaire tech entrepreneur Elon Musk, called for a pause in the development of more advanced AI in light of its "profound risks to society and humanity". While a pause did not happen, governments and regulatory authorities began rolling out new laws and regulations to set guardrails on the development and use of AI.

This paper introduces a new IncidentAI dataset for safety prevention. Different from prior corpora that usually contain a single task, our dataset comprises three tasks: named entity recognition, cause-effect extraction, and information retrieval. The dataset is annotated by domain experts who have at least six years of practical experience as high-pressure gas conservation managers. We validate the contribution of the dataset in the scenario of safety prevention. Preliminary results on the three tasks show that NLP techniques are beneficial for analyzing incident reports to prevent future failures. The dataset facilitates future research in NLP and incident management communities. The access to the dataset is also provided (the IncidentAI dataset is available at: https://github.com/Cinnamon/incident-ai-dataset).

Fox News correspondent Grady Trimble has the latest on fears that AI technology will spiral out of control on "Special Report." As Silicon Valley races to build powerful and popular artificial intelligence systems, troubling "incidents" ranging from convincing AI deepfakes, banking fraud, bias and even deaths will increase this year, a tech expert says. Following the release of ChatGPT last November, tech companies have been rushing to develop powerful AI systems to keep the pace with competitors. The AI Incident Database, which is run by nonprofit Responsible AI Collaborative, tracks various incidents caused by AI and is projected to record double the number of incidents this year compared to last. The database defines incidents through examples such as an autonomous car killing a pedestrian, a "trading algorithm" causing a "market'flash crash' where billions of dollars transfer between parties," or a "facial recognition system" causing "an innocent person to be arrested."

From "intelligent" vacuum cleaners and driverless cars to advanced techniques for diagnosing diseases, artificial intelligence has burrowed its way into every arena of modern life. Its promoters reckon it is revolutionising human experience, but critics stress that the technology risks putting machines in charge of life-changing decisions. Regulators in Europe and North America are worried. The European Union is likely to pass legislation next year- the AI Act- aimed at reining in the age of the algorithm. The United States recently published a blueprint for an AI Bill of Rights and Canada is also mulling legislation.

PARIS: From "intelligent" vacuum cleaners and driverless cars to advanced techniques for diagnosing diseases, artificial intelligence has burrowed its way into every arena of modern life. Its promoters reckon it is revolutionising human experience, but critics stress that the technology risks putting machines in charge of life-changing decisions. Regulators in Europe and North America are worried. The European Union is likely to pass legislation next year -- the AI Act -- aimed at reining in the age of the algorithm. The United States recently published a blueprint for an AI Bill of Rights and Canada is also mulling legislation.

From "intelligent" vacuum cleaners and driverless cars to advanced techniques for diagnosing diseases, artificial intelligence has burrowed its way into every arena of modern life. Its promoters reckon it is revolutionising human experience, but critics stress that the technology risks putting machines in charge of life-changing decisions. Regulators in Europe and North America are worried. The European Union is likely to pass legislation next year -- the AI Act -- aimed at reining in the age of the algorithm. The United States recently published a blueprint for an AI Bill of Rights and Canada is also mulling legislation.

California start-up OpenAI has released a chatbot capable of answering a variety of questions, but its impressive performance has reopened the debate on the risks linked to artificial intelligence (AI) technologies. The conversations with ChatGPT, posted on Twitter by fascinated users, show a kind of omniscient machine, capable of explaining scientific concepts and writing scenes for a play, university dissertations or even functional lines of computer code. "Its answer to the question'what to do if someone has a heart attack' was incredibly clear and relevant," Claude de Loupy, head of Syllabs, a French company specialized in automatic text generation, told AFP. "When you start asking very specific questions, ChatGPT's response can be off the mark," but its overall performance remains "really impressive," with a "high linguistic level," he said. OpenAI, cofounded in 2015 in San Francisco by billionaire tech mogul Elon Musk, who left the business in 2018, received $1 billion from Microsoft in 2019. The start-up is best known for its automated creation software: GPT-3 for text generation and DALL- E for image generation.

Markov Decision Process (MDP) simulators and optimization algorithms integrate several systems and functions that are collectively subject to failures of specification, implementation, integration, and optimization. We present a domain agnostic visual analytic design and implementation for testing and debugging MDPs: MDPvis.

The failures of artificial intelligent systems have become a recurring theme in technology news. Recommendation systems that promote violent content. Trending algorithms that amplify fake news. Most complex software systems fail at some point and need to be updated regularly. We have procedures and tools that help us find and fix these errors.