This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize the most pressing opportunities and challenges for contestability along AI value chains in the form of a research roadmap. This roadmap will help shape and inspire imminent work in this field. Considering the length and depth of AI value chains, it will especially spur discussions around the contestability of AI systems along various sites of such chains. The workshop will serve as a platform for dialogue and demonstrations of concrete, successful, and unsuccessful examples of AI systems that (could or should) have been contested, to identify requirements, obstacles, and opportunities for designing and deploying contestable AI in various contexts. This will be held primarily as an in-person workshop, with some hybrid accommodation. The day will consist of individual presentations and group activities to stimulate ideation and inspire broad reflections on the field of contestable AI. Our aim is to facilitate interdisciplinary dialogue by bringing together researchers, practitioners, and stakeholders to foster the design and deployment of contestable AI.

Politics is one of the most prevalent topics discussed on social media platforms, particularly during major election cycles, where users engage in conversations about candidates and electoral processes. Malicious actors may use this opportunity to disseminate misinformation to undermine trust in the electoral process. The emergence of Large Language Models (LLMs) exacerbates this issue by enabling malicious actors to generate misinformation at an unprecedented scale. Artificial intelligence (AI)-generated content is often indistinguishable from authentic user content, raising concerns about the integrity of information on social networks. In this paper, we present a novel taxonomy for characterizing election-related claims. This taxonomy provides an instrument for analyzing election-related claims, with granular categories related to jurisdiction, equipment, processes, and the nature of claims. We introduce ElectAI, a novel benchmark dataset that consists of 9,900 tweets, each labeled as human- or AI-generated. For AI-generated tweets, the specific LLM variant that produced them is specified. We annotated a subset of 1,550 tweets using the proposed taxonomy to capture the characteristics of election-related claims. We explored the capabilities of LLMs in extracting the taxonomy attributes and trained various machine learning models using ElectAI to distinguish between human- and AI-generated posts and identify the specific LLM variant.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. An Indiana woman has been sentenced to three years in federal prison after she used a dating app to scam a 96-year-old man out of nearly 80,000, a U.S. attorney announced Wednesday. Brittany Rakia Shawnai Lasley, 34, of Anderson, created a social media account containing fake profile information on the dating site "Plenty of Fish" and used the account to perpetrate an online romance with the man, who was a windower, according to U.S. Attorney Zachary Cunha. Over time, Lasley persuaded the 96-year-old to send her money, gift cards, credit cards and even to hand over sensitive banking information.

Massachusetts-based supermarket chain Market Basket has announced plans for a second Rhode Island store. The 89,000-square-foot store in Warwick expected to open next year will be located at a site that was previously home to a Sam's Club and later an At Home store, according to a statement from Mayor Joseph Solomon and Market Basket President and CEO Arthur T. Demoulas. "Our city's central location in the state, combined with our growing business climate, continue to make Warwick a natural choice for multiple companies looking to expand their reach in the Ocean State," Solomon said in a statement. Privately-owned Market Basket currently has 81 stores in Massachusetts, New Hampshire and Maine. The company in March announced plans for a store in Johnston.

This is not the first time we have discussed artificial intelligence in the Inside HR Tech column, and it quite likely won't be the last time. Judging by my unscientific but still reasonably accurate measure of the relative importance of an HR-technology topic or trend based on how much attention it received at recent HR Technology Conferences, I reckon that AI has emerged in the last five years as the single most discussed topic in HR tech. If it seems to you that everyone is talking or writing or speaking about AI in HR and in the workplace, you are pretty much correct. Even so, the topic feels so important for HR, for employees, for workplaces, that it may not (yet) be possible to pay too much attention to AI. That's the conclusion I reached recently while reading some of the latest applications of AI technology in the workplace.

When Conor Sprouls, a customer service representative in the call center of insurance giant MetLife talks to a customer over the phone, he keeps one eye on the bottom-right corner of his screen. There, in a little blue box, A.I. tells him how he's doing. The program flashes an icon of a speedometer, indicating that he should slow down. A heart icon pops up. For decades, people have fearfully imagined armies of hyper-efficient robots invading offices and factories, gobbling up jobs once done by humans.

When Conor Sprouls, a customer service representative in the call center of insurance giant MetLife talks to a customer over the phone, he keeps one eye on the bottom-right corner of his screen. There, in a little blue box, A.I. tells him how he's doing. The program flashes an icon of a speedometer, indicating that he should slow down. A heart icon pops up. For decades, people have fearfully imagined armies of hyper-efficient robots invading offices and factories, gobbling up jobs once done by humans.

Mr. Sprouls and the other call center workers at his office in Warwick, R.I., still have plenty of human supervisors. But the software on their screens -- made by Cogito, an A.I. company in Boston -- has become a kind of adjunct manager, always watching them. At the end of every call, Mr. Sprouls's Cogito notifications are tallied and added to a statistics dashboard that his supervisor can view. If he hides the Cogito window by minimizing it, the program notifies his supervisor. Cogito is one of several A.I. programs used in call centers and other workplaces.