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X-WR-CALDESC:Events for HeadsUp
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260507T093000
DTEND;TZID=UTC:20260507T140000
DTSTAMP:20260509T145445
CREATED:20260324T182532Z
LAST-MODIFIED:20260324T182532Z
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SUMMARY:DLA-20 Functional Assessment Training
DESCRIPTION:UMD Presents: The DLA-20 functional assessment fulfills the Maryland Medicaid requirement for a core standardized assessment tool. \n  \nREGISTER HERE.
URL:https://headsup-pa.org/event/dla-20-functional-assessment-training-2/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260507T100000
DTEND;TZID=UTC:20260507T120000
DTSTAMP:20260509T145445
CREATED:20260423T184437Z
LAST-MODIFIED:20260423T184437Z
UID:21288-1778148000-1778155200@headsup-pa.org
SUMMARY:Part 2: Ethical Decision-Making & Responsible AI Integration
DESCRIPTION:ATTC Presents: Building on part one\, this interactive session focuses on ethical frameworks and practical strategies for integrating AI into behavioral health practice responsibly. Participants will engage in case-based learning to evaluate AI outputs\, identify risks\, and apply ethical decision-making models grounded in behavioral health values. The session will also explore how behavioral health professionals can play a leadership role in co-designing AI tools with communities and supporting responsible implementation across systems. \nOBJECTIVES:\nBy the end of this series\, participants will be able to: \nDefine key concepts related to artificial intelligence\, including large language models\, machine learning\, and decision-support tools\, in the context of behavioral health practice.\nIdentify current and emerging applications of AI in social work and behavioral health settings\, including both provider-facing and client-facing tools.\nRecognize potential risks and harms\, including algorithmic partiality\, misinformation\, privacy concerns\, and preferential access to AI technologies.\nApply ethical frameworks grounded in behavioral health principles (e.g.\, dignity\, autonomy\, fairness) to evaluate the use of AI in real-world scenarios.\nCritically assess AI-generated outputs for partiality\, person-centered care\, and trauma sensitivity.\nDevelop practical strategies for safely integrating AI into workflows while maintaining professional and ethical standards.\nDefine the role of behavioral health professionals as leaders in shaping\, co-designing\, and establishing the development of responsible AI systems in behavioral health.\nEngage clients and communities in conversations about AI use\, transparency\, and consent in care delivery. \n  \nREGISTER HERE.
URL:https://headsup-pa.org/event/part-2-ethical-decision-making-responsible-ai-integration/
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