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UID:1792453370288-14112031367806670@calendarevent
DTSTAMP:20261019T164250Z
SUMMARY:OLC Lunch and Learn: Practical\, Responsible AI for Social Work: Foundations\, Guardrails\, and Live Demos
LOCATION:Your access link will be sent to you by email ahead of each event date.  Code: Password: Phone: Phone2: Password:
DESCRIPTION:\n  \n  Tuesday\, November 17\, 2026\n  \n  12:00 to 1:00 p.m. ET | Online\n  \n  Presented by\n  \n  Courtney Sas\, MSW\, RSW\, MBE and \n  Marli Lichtman\, HBA\, CFA\n\nSocial workers are being asked to do more with less while AI tools\n  enter their workplaces and their clients’ lives faster than\n  professional guidance can keep pace. This session demystifies AI for\n  social work practice: what the technology is\, where it may genuinely\n  save time and how to use it within OCSWSSW expectations and applicable\n  Ontario privacy requirements.\nThrough interactive discussion and live demonstrations\, participants\n  will see fictional or fully de-identified handwritten notes\n  transformed into an organized summary and learn a straightforward\n  prompting framework they can apply to realistic professional tasks.\n  The session will address documentation\, report writing\, client\n  communication and resource research\, while emphasizing\n  confidentiality\, informed consent\, bias\, accuracy and human oversight.\nAttendees will leave with practical safeguards\, self-review questions\n  and a realistic understanding of what AI can and cannot do\, so that\n  technology supports rather than replaces professional judgment.\nBy the end of the session\, participants will be able to:\n1. Explain what generative AI is and identify areas where it may\n  responsibly reduce administrative burden\, including documentation\,\n  report writing\, client communication and resource research.2.\n  Apply a structured prompting framework to draft an effective\,\n  privacy-protective AI prompt for a realistic social work\n  scenario.3. Assess a potential AI use case against OCSWSSW\n  guidance and applicable privacy obligations\, including PHIPA and\n  PIPEDA where relevant\, and identify appropriate safeguards.\nPresenter Bios:\nCourtney Sas\, MSW\, RSW\, MBE\, is a clinical social worker at a\n  University of Toronto–affiliated hospital\, an Adjunct Lecturer at the\n  University of Toronto’s Factor-Inwentash Faculty of Social Work\, and a\n  privatepsychotherapist specializing in anxiety and mood disorders.\n  With a Master of Bioethics\, she brings an ethics-grounded perspective\n  to technology\, clinical practice\, and client wellbeing.\nMarli Lichtman\, HBA\, CFA\, is the founder of The AI Tutor\, an AI\n  education and advisory practice helping leaders and teams use AI\n  practically\, responsibly\, and effectively. Drawing on more than 15\n  years of strategy and transformation experience\, she delivers hands-on\n  training across sectors\, including regulated professions.\nTogether\, Courtney and Marli provide practical AI education for\n  social workers centred on privacy\,  ethical safeguards\, professional\n  judgment\, and immediately applicable skills.\n\n Pricing:\n\n  \n    OASW Members: $15 + HST (OASW\n        member ID # required)\n    \n  \n  \n    Non-Members: $35 + HST\n  \n\n\n  \n    Not a member? \n        \n          Join\n              OASW today\n          \n      \n    \n  \n\n 
PRIORITY:3
LANGUAGE:EN
ATTENDEE;CN=learning@oasw.org:mailto:learning@oasw.org
DTSTART;TZID=America/Toronto:20261117T120000
DTEND;TZID=America/Toronto:20261117T130000
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