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#AAAI2025 invited talk round-up 1: labour economics, and reasoning about spatial information

AIHub

The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) took place in Philadelphia from Tuesday 25 February to Tuesday 4 March 2025. The programme featured eight invited talks. Susan works at the intersection of computer science and economics. In the past she has researched problems relating to mechanism design, auctions, pricing, and causal inference, but recently she has turned her attention to modelling worker career transitions using transformer models. In her talk, Susan described the research in a few of her recent papers covering topics such as the gender wage gap and economic prediction of labour sequence data.


Avodah Welcomes Four New Members to AvodahMed's Medical Advisory Council

#artificialintelligence

Avodah, a transformative SaaS company powering artificial intelligence (AI) capabilities that operates healthcare division AvodahMed, added four new members to the AvodahMed Medical Advisory Council. "We are delighted to welcome Dr. Koppel, Dr. Lytle, Will, and Tony to our multidisciplinary team of the most established and distinguished professionals" Mark Koppel, M.D., Bruce Lytle, M.D., Will Rideout, and Anthony Black will join existing Council members whose collective role is to provide strategic guidance, clinical leadership, and scientific and ethical direction to advance AvodahMed. The Council members will focus on the company's Nsight conversational AI solution's development roadmap designed to detect and boost a medical practice's care management, cost savings, and revenue-boosting opportunities. The solution is also aimed at reducing physician burnout. Mark Koppel, M.D., is a seasoned executive with nearly 20 years of experience in the business of medicine and healthcare.


MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective

Hu, Zhe, Chan, Hou Pong, Huang, Lifu

arXiv.org Artificial Intelligence

Teaching neural models to generate narrative coherent texts is a critical problem. Recent pre-trained language models have achieved promising results, but there is still a gap between human written texts and machine-generated outputs. In this work, we propose a novel multi-task training strategy for coherent text generation grounded on the cognitive theory of writing, which empowers the model to learn essential subskills needed for writing including planning and reviewing besides end-to-end generation. We extensively evaluate our model on three open-ended generation tasks including story generation, news article writing and argument generation. Experiments show that our model achieves better results on both few-shot and fully-supervised settings than strong baselines, and human evaluations confirm that our model can generate more coherent outputs.


Artificial Intelligence Brought Anthony Bourdain's Voice Back To Life. Should It Have?

#artificialintelligence

Writer and critic Jason Sheehan, who reviewed Roadrunner for NPR before its use of AI became public, says he isn't entirely sure how to feel. "I mean, is it all that different than Ken Burns having Sam Waterston read Abraham Lincoln's letters in his Civil War documentary? Neville claims that he used Bourdain's own words -- things that he'd written or said that just didn't exist on tape -- and that matters," Sheehan says. "If Burns had asked Waterston to make Lincoln say how much he loved the new Subaru Outback, then sure. This is the (admittedly queasy) choice to bring back to life the voice of a dead guy, and make that voice speak words that already existed in another form. Is it creepy, knowing about it now? But these things are decided in public. It'll get hashed out on social media and in spaces like this. And then we'll move on, all of us having been forced to briefly consider the possibility of an endless zombie future where nothing we've ever said or written ever really goes away."


Some Fans Aren't Happy With How Anthony Bourdain's Voice Was Recreated In The New Documentary

#artificialintelligence

Early reviews of the new documentary film ROADRUNNER about the late food mogul Anthony Bourdain were overwhelmingly positive. Upon its official release last week, though, it started to get some backlash particularly after filmmaker Morgan Neville said he used artificial intelligence technology to create some quotes in Anthony's voice. In an interview with The New Yorker, Neville explained how his team "created an A.I. model of his [Bourdain's] voice" because there were three quotes wanted for the film that had no previous recordings before. By sending a software company hours of recordings and footage, they were able to splice together these quotes in Anthony's voice. "If you watch the film, other than that line you mentioned, you probably don't know what the other lines are that were spoken by the A.I., and you're not going to know," Neville told The New Yorker: "We can have a documentary-ethics panel about it later."


Anthony Bourdain's voice-cloning for new doc called into question: It's 'a slippery slope'

FOX News

Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. The revelation that a documentary filmmaker used voice-cloning software to make the late chef Anthony Bourdain say words he never spoke has drawn criticism amid ethical concerns about use of the powerful technology. The movie "Roadrunner: A Film About Anthony Bourdain" appeared in cinemas Friday and mostly features real footage of the beloved celebrity chef and globe-trotting television host before he died in 2018. But its director, Morgan Neville, told The New Yorker that a snippet of dialogue was created using artificial intelligence technology.


'Roadrunner' Recreates Anthony Bourdain's Iconic Narration With Artificial Intelligence. Is That Okay?

#artificialintelligence

A gutting new documentary about Anthony Bourdain has arrived. Roadrunner: A Film About Anthony Bourdain, from filmmaker Morgan Neville, hits theaters today, Friday, July 16. While most who've seen it seem to agree that the piece, much like the subject matter, is enthralling, questions regarding the ethics of the production have also been raised. Most of this attention is centered on one decision: featuring voiceover quotes from the acclaimed chef and author that, it turns out, he never actually said. As Neville revealed to the New Yorker, he and his team employed artificial intelligence technology to recreate Bourdain's voice to add in a few missing pieces that the director thought filled in holes in the story.


The Haunting Afterlife of Anthony Bourdain

The New Yorker

It's been three years since Anthony Bourdain died, by suicide, in June of 2018, and the void he left is still a void. "I wish Anthony Bourdain was here to see this," countless people have tweeted over the past thirty-seven-ish months, on occasions as varied as a New York gubernatorial candidate ordering a cinnamon-raisin bagel, the White House serving a McDonald's banquet, the collapse of the American restaurant industry, and the sputtering attempts to revive the same. Bourdain was a television megastar, a fluid and conversational writer, a social-media gadfly, a pointed cultural commentator, and seemingly everyone's best friend. The singularity of his celebrity and the suddenness of his death have fuelled an uncommonly intense, uncommonly enduring grief--a personal sense of public loss, of a sort usually reserved for popes and Presidents. In 2019, about a year after Bourdain's death, the documentary filmmaker Morgan Neville began talking to people who had been close to Bourdain: his family, his friends, the producers and crew of his television series.


Premier Products Group Inc. PMPG Post # 26892

#artificialintelligence

I added some while away and the next day(s) the shares returned to the treasury and Tony's letter came out so well timed buy for me. To the best of my knowledge the PMPG/NPI-SRT patents are the only ones that exists so when companies like HERE and Tesla roll out their AI/connectivity expansions they will be knocking on Tony's door. HERE is working on a pilot project that uses car-to-car communication to predict traffic situations just five minutes ahead, using AI and machine learning to achieve up to 95% accuracy. "This is something that only a machine can understand," he says. "I'm learning about you to offer a better experience."


2021 Healthcare Cybersecurity Priorities: Experts Weigh In

#artificialintelligence

Healthcare cybersecurity is in triage mode. As systems are stretched to the limits by COVID-19 and technology becomes an essential part of everyday patient interactions, hospital and healthcare IT departments have been left to figure out how to make it all work together, safely and securely. Most notably, the connectivity of everything from thermometers to defibrillators is exponentially increasing the attack surface, presenting vulnerabilities IT professionals might not even know are on their networks. Get the whole story and DOWNLOAD the eBook now – on us!] The result has been a newfound attention from ransomware and other malicious actors circling and waiting for the right time to strike. Rather than feeling overwhelmed in the current cybersecurity environment, it's important for healthcare and hospital IT teams to look at security their networks as a constant work in progress, rather than a single project with a start and end point, according to experts Jeff Horne from Ordr and G. Anthony Reina who participated in Threatpost's November webinar on Heathcare Cybersecurity. "This is a proactive space," Reina said. "This is something where you can't just be reactive. You actually have to be going out there, searching for those sorts of things, and so even on the technologies that we have, you know, we're, we're proactive about saying that security is an evolving, you know, kind of technology, It's not something where we're going to be finished." Healthcare IT pros, and security professionals more generally, also need to get a firm handle on what lives their networks and its potential level of exposure. The fine-tuned expertise of healthcare connected machines, along with the enormous cost to upgrade hardware in many instances, leave holes on a network that simply cannot be patched. "Because, from an IT perspective, you cannot manage what you can't see, and from a security perspective, you can't control and protect what you don't know," Horne said. Threatpost's experts explained how healthcare organizations can get out of triage mode and ahead of the next attack. The webinar covers everything from bread and butter patching to a brand-new secure data model which applies federated learning to functions as critical as diagnosing a brain tumor. Alternatively, a lightly edited transcript of the event follows below. Thank you so much for joining. We have an excellent conversation planned on a critically important topic, Healthcare cybersecurity. My name is Becky Bracken, I'll be your host for today's discussion. Before we get started, I want to remind you there's a widget on the upper right-hand corner of your screen where you can submit questions to our panelists at any time. We encourage you to do that. You'll have to answer questions and we want to make sure we're covering topics most interesting to you, OK, sure. Let's just introduce our panelists today. First we have Jeff Horne. Jeff is currently the CSO at Ordr and his priors include SpaceX.