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DTSTART;TZID=America/New_York:20260409T160000
DTEND;TZID=America/New_York:20260409T160000
DTSTAMP:20260311T184522Z
CREATED:20260302T170357Z
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UID:10000692-1775750400-1775750400@cas.uncg.edu
SUMMARY:Rethinking How We Talk About And Work With A.I.
DESCRIPTION:**Rescheduled from March 26** \n\n\n\nAshby Dialogues 2026-2026 Speakers’ SeriesRethinking the Algorithm: AI and the Human Experience\n\n\n\n\n\nRETHINKING HOW WE TALK ABOUT AND WORK WITH AI\n\n\n\nDr. Cristiane Damasceno\, UNCG Communication Studies\n\n\n\nAnthropomorphizing language can obscure the fact that replacing humans with machines does not lead to equivalent actions or interactions. \n\n\n\nThis session presents a framework for understanding how technology changes the nature of tasks and prescribes behaviors. \n\n\n\nLocation: School of Education Building\, Room 206 \n\n\n\n\n\nDr. Cristiane Damasceno\, Communication Studies (UNCG)
URL:https://cas.uncg.edu/event/rethinking-how-we-talk-about-and-work-with-ai/
LOCATION:School of Education Building\, 1300 Spring Garden St\, Greensboro\, NC\, 27412\, United States
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260303T153000
DTEND;TZID=America/New_York:20260303T153000
DTSTAMP:20260302T172250Z
CREATED:20260302T164952Z
LAST-MODIFIED:20260302T172250Z
UID:10000691-1772551800-1772551800@cas.uncg.edu
SUMMARY:Beyond One Data Type: MultimodalLearning and The Future of Precision Health
DESCRIPTION:Ashby Dialogues 2026-2026 Speakers’ SeriesRethinking the Algorithm: AI and the Human Experience\n\n\n\n\n\nBeyond One Data Type: Multimodal Learning and the Future of Precision Health\n\n\n\nDr. Yingcheng Sun\, UNCG Computer Science\n\n\n\nWe live in a world filled with multimodal data — text\, images\, videos\, signals\, graphs\, and more. Multimodal AI offers a promising way to integrate these heterogeneous data sources\, enabling more holistic and personalized clinical decision support. This talk will introduce the common multimodal learning approaches\, highlight key challenges and conclude with future directions toward reliable\, transparent\, and privacy-preserving clinical applications. \n\n\n\nLocation: Petty Building\, Room 213 \n\n\n\n\n\nDr. Yingcheng Sun\, Computer Science (UNCG)
URL:https://cas.uncg.edu/event/beyond-one-data-type-multimodallearning-and-the-future-ofprecision-health/
LOCATION:Petty Science Building\, Room 213\, 317 College Ave\, Greensboro\, NC\, 27407\, United States
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm,uncg_main
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260219T160000
DTEND;TZID=America/New_York:20260219T160000
DTSTAMP:20260213T174934Z
CREATED:20260213T171747Z
LAST-MODIFIED:20260213T174934Z
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SUMMARY:Rethinking the Algorithm: AI and the Human Experience - Ashby Dialogues Speaker Matthew Engelhard of Duke University
DESCRIPTION:Toward Interpretable\, Timely\, Context-Aware Clinical Decision Support\n\n\n\nRethinking the Algorithm: AI and the Human Experience\, part of the 2025-2026 Ashby Dialogues Speakers’ Series \n\n\n\n\n\n\n\n\n\n\n\nAI can monitor electronic health records for early signs of chronic conditions\, delivering timely and context-aware clinical recommendations to help improve patient outcomes. \n\n\n\nMatthew Englehard\, M.D.\, Ph.D. of Duke University will present new methods to predict chronic disease risks and deliver clear\, actionable recommendations at the right time. \n\n\n\n\n\n\n\n\n\n\n\nAbstract: Early recognition of chronic conditions is critical to ensure patients receive timely\, appropriate care\, in turn promoting improved outcomes and long-term well-being. Passive\, AI-based surveillance of routine electronic health records (EHRs) provides information about diagnostic trajectories that can inform early actions supporting diagnosis and optimal disease management. However\, determining (a) when to take action and (b) what action to take depends not only on predicted risk\, but also on the broader clinical context\, including evolving health trajectories\, anticipated follow-up patterns\, competing risks\, and uncertainty over time. Further\, clinicians already face an unmanageable volume of alerts\, therefore clinical decision support (CDS) systems must deliver information at the right time\, in the right format\, and in a way that integrates seamlessly with existing workflows. In this talk\, I will describe steps toward development of CDS systems that combine interpretable longitudinal prediction from complex EHR data with sequential decision-making methods designed to optimize alert timing based on clinical context. In addition to predicting specific risks\, the resulting systems aim to generate context-aware clinical recommendations and justify them based on clinician-interpretable evidence from the EHR.
URL:https://cas.uncg.edu/event/ashby-dialogues-speaker-matthew-engelhard-m-d-ph-d-duke-university/
LOCATION:UNCG’s Moore Humanities and Research Administration (MHRA) Building\, 1111 Spring Garden St\, Greensboro\, NC\, 27412
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm
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DTSTART;TZID=America/New_York:20251113T143000
DTEND;TZID=America/New_York:20251113T163000
DTSTAMP:20250930T194041Z
CREATED:20250924T133520Z
LAST-MODIFIED:20250930T194041Z
UID:10000660-1763044200-1763051400@cas.uncg.edu
SUMMARY:The Great Self-Portrait
DESCRIPTION:The College of Arts & Sciences’ Ashby Dialogues presents this lecture by Professor Richard Hronek of UNCG’s Department of Languages\, Literatures\, and Cultures. \n\n\n\nThe 2025-26 Ashby Dialogues explores the theme\, “Rethinking the Algorithm: AI and the Human Experience.” \n\n\n\nAbout this presentation: Dr. Hronek examines the nature of cyborg in fictional literature and media and ponders the questions of whether technology is portrayed as a liberator or another means of oppresion. \n\n\n\nFree and open to the public.  \n\n\n\nLocation: UNCG’s MHRA Building | Room 1215 | 1111 Spring Garden Street
URL:https://cas.uncg.edu/event/the-great-self-portrait/
LOCATION:UNCG’s Moore Humanities and Research Administration (MHRA) Building\, 1111 Spring Garden St\, Greensboro\, NC\, 27412
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm,uncg_main
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251029T143000
DTEND;TZID=America/New_York:20251029T163000
DTSTAMP:20250924T114721Z
CREATED:20250910T191339Z
LAST-MODIFIED:20250924T114721Z
UID:10000648-1761748200-1761755400@cas.uncg.edu
SUMMARY:AI\, Work\, and Meaning
DESCRIPTION:The College of Arts & Sciences’ Ashby Dialogues presents this lecture by Professor Zach Wrublewski of UNCG’s Philosophy Department. \n\n\n\nThe 2025-26 Ashby Dialogues explores the theme\, “Rethinking the Algorithm: AI and the Human Experience.” \n\n\n\nAbout this presentation: This session will focus on the ethical ramifications of the ubiquitous usage of AI\, and explore the ways in which the large-scale implementation and adoption of AI will alter important aspects of everyday human experience.  \n\n\n\nWrublewski’s talk will outline some of the important ethical features of human experience that are likely to be affected by widespread AI use\, such as autonomy and the search for meaning\, and investigate the ways in which they might be affected. The conversation will revolve around inquiries into the relevant features of human experience\, the nature of humanity\, and the shared futures we want to encourage or avoid. \n\n\n\nFree and open to the public.  \n\n\n\nLocation: UNCG’s School of Education Building | Room 106 | 1300 Spring Garden Street
URL:https://cas.uncg.edu/event/ai-work-and-meaning/
LOCATION:NC
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm,uncg_main
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251001T160000
DTEND;TZID=America/New_York:20251001T173000
DTSTAMP:20250924T114219Z
CREATED:20250910T183345Z
LAST-MODIFIED:20250924T114219Z
UID:10000647-1759334400-1759339800@cas.uncg.edu
SUMMARY:Auditing Large Language Model Ecosystems: From Model Outputs to Agentic System Deployment
DESCRIPTION:The College of Arts & Sciences’ Ashby Dialogues presents this lecture by Dr. Tianlong Chen\, a computer science professor from UNC Chapel-Hill. \n\n\n\nThe 2025-26 Ashby Dialogues explores the theme\, “Rethinking the Algorithm: AI and the Human Experience.” \n\n\n\nAbout this presentation: Large Language Models (LLMs) are rapidly evolving from monolithic entities into complex\, interactive ecosystems. While previous research has focused on input-level vulnerabilities\, such as adversarial prompts and jailbreaking\, a new frontier of pragmatic\, system-level risks has emerged.  \n\n\n\nThis presentation shifts the focus from input manipulation to auditing the security and governance of the entire operational stack of LLM agent development. We dissect novel threat aspects that target the ecosystem itself\, including knowledge base poisoning\, covert prompt injection in agent societies\, economic resource exhaustion\, and hardware faults. We then survey a new generation of defenses designed to address these unique challenges\, ranging from proactive output protection to decentralized monitoring.  \n\n\n\nTogether\, these topics provide a blueprint for pragmatic safety\, covering both the immediate securing of LLM agentic systems and the principles for their long-term management. Attendees will leave with a comprehensive framework for this next generation of trustworthy AI. \n\n\n\nFree and open to the public.
URL:https://cas.uncg.edu/event/auditing-large-language-model-ecosystems-from-model-outputs-to-agentic-system-deployment/
LOCATION:Petty Building – Room 219\, 317 College Ave\, Greensboro\, North Carolina\, 27412\, United States
CATEGORIES:Ashby Dialogue Series,Rethinking the Algorithm,uncg_main
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