AI CLOSED-LOOP QUANTUM-NANO FABRICATION AND VERIFICATION AT THE LIMITPhysical Observation × Bounded Decision × Verified Closure This research monograph develops an exploratory engineering architecture for the use of artificial intelligence in nanofabrication workflows where physical evidence, authorization, quality ver...
AI-generated summaries and reports are increasingly used in high-stakes settings, like policing, despite considerable evidence that AI often generates misleading or inaccurate information. This research asked: do errors in AI-generated summaries distort human memory? To answer this question, we adopted two methodologic...
Mattea Sim, Yael Eiger, Tadayoshi Kohno· Proceedings of the AAAI/ACM...· 0 citations
AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. Although improving service accessibility is beneficial, any resulting surges in demand could strain unprepared government services. We term s...
Chris Schmitz, Lewis Hammond, Alan Chan· Proceedings of the AAAI/ACM...· 0 citations
Specifying a penalty can turn a legal obligation into a cost-benefit calculation that favors violation. We show that this enforcement information paradox occurs in AI agents. Most AI safety evaluations test whether models fail; we ask why, using compliance theory from law and economics as a diagnostic. We evaluate twel...
Mika Okamoto, Ansel Kaplan Erol, Kutluhan Erol· Proceedings of the AAAI/ACM...· 0 citations
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Overwhelmed courts in the United States review millions of default judgments each year. Unfortunately, such manual reviews are time-consuming and prone to error. In an audit of 188 debt collection cases granted default judgment by the Superior Court of Los Angeles, we find that 4% contained major defects that should ha...
Theodora Worledge, Othman Bensouda Koraichi, Daniel Bernal et al.· Proceedings of the AAAI/ACM...· 0 citations
As large language models gain tool access and are deployed as autonomous agents capable of editing records, executing transactions, and modifying infrastructure, we still evaluate them based on the sole metric of task completion. We argue that this evaluation focus constitutes a systematic design failure. Benchmark sco...
Victor Ojewale, Suresh Venkatasubramanian· Proceedings of the AAAI/ACM...· 0 citations
Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answering instantly available to students at every level, from secondary school through graduate study. Many educators do not object to LLM use per se; what they need to detect is the case in which a student pastes the assignment promp...
Aizierjiang Aiersilan, Artin Yousefi, Robert Pless· Proceedings of the AAAI/ACM...· 0 citations
Abstract Recent research has shown that large language models (LLMs) exhibit rule-based insensitivity to contingencies, a functional analog of a well-documented phenomenon in human behavior. The present study extended these findings by examining whether tracking inductions can attenuate this insensitivity. Six frontier...
Francisco J. Ruiz, Esmeralda Martínez-Carrillo· The Psychological Record· 0 citations
While computer systems that allow users to interact through conversational natural language (i.e., chatbots) have existed for many years, various types of applications advertising AI companionship (e.g., Character AI, Replika) have proliferated in recent years due to advancements in large language models. To better und...
Natalie Grace Brigham, Lucy Qin, Tadayoshi Kohno· Proceedings of the AAAI/ACM...· 0 citations
Human uplift studies, or studies that measure the effects of AI access on human performance via randomized controlled trials (RCTs) or similar methodologies, increasingly inform frontier AI governance and deployment decisions. While RCT methods are robust in other fields, their interaction with the distinctive properti...
Patricia Paskov, Kevin Wei, Shen Zhou Hong et al.· Proceedings of the AAAI/ACM...· 0 citations
Adversary emulation is an essential procedure for cybersecurity assessments such as evaluating an organization’s security posture or facilitating structured training and research in dedicated environments. To allow for systematic and time-efficient assessments, several approaches from academia and industry have worked...
Louis Hackländer-Jansen, Rafael Uetz, Martin Henze· Digital Threats Research and...· 0 citations
Large language models (LLMs) differ from previous technologies in functioning as collaborative "thought partners'' that can engage fluidly in natural language across a range of tasks and increasingly act as autonomous agents on users' behalf. As they come to shape consequential decisions from healthcare to personal adv...
Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim et al.· Proceedings of the AAAI/ACM...· 4 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
