BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260605T072403Z UID:1d3cade2-57ff-4fc7-9131-55372218879c DTSTART;TZID=Canada/Eastern:20251008T103000 DTEND;TZID=Canada/Eastern:20251008T120000 DESCRIPTION:

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The content provider for this event is: Sherman Centre fo r Digital Scholarship (McMaster University)
Registrati on may be required for the event\, please visit the following URL to learn more: https://libcal.mcmaster.ca/event/3920117

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Whether you regularly engage with visual generative AI or are j ust dipping your toe into these waters\, this workshop focuses on recogniz ing sources of image biases and its impacts and implications as artificial images become increasingly sophisticated and ubiquitous. Applying a combi ned historical and ethics lens\, workshop participants will have the oppor tunity to generate and analyze artificial images as a means of unpacking c ontinuity and changes in visual practices and norms. The workshop supports the development of critical reflection skills and tools for creating and ‘reading’ images that avoid potential pitfalls of (re)producing harmfu l clichés and to support identification of mis/disinformation. The worksh op has relevance for academic integrity along with navigating our daily vi sual landscape\, which in turn has implications for democracy\, civic enga gement\, and human relationships. At a time when visual evidence/truth\, d is/misinformation and academic integrity are at stake\, there is no time l ike the present to gain a solid foundation on visual literacy.
By th e end of the workshop\, participants will be able to:
Identify opportunities\, pitfalls and potential harms of visual generative AI to ma ke informed decisions on its use in educational and every-day life setting s by exploring recent examples.
Unpack the role of audience engage ment with visual images in the era of AI to critically analyse the impacts of and to support responsible use of this new technology.
Trace b iases and ethically problematic visual stereotypes present in AI-generated images through comparison and critical reflection of historical cases
This workshop is great for students\, educators\, researchers\, a nd professionals interested in developing critical visual literacy skills to responsibly engage with AI-generated images in academic\, creative\, or everyday contexts!
Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page\, and d iscoverable via the Sherman Centre'\;s Online Learning Cata logue.
Facilitator Bio:
Dr. Sonya de La at is the Academic Program Advisor and Curriculum Coordinator in the Schoo l of Global Health and Social Medicine\, and a Research Associate with the Department of Health Research Methods\, Evidence\, and Impact at McMaster University. With degrees in Anthropology and Media Studies\, Dr. de Laat ’s work has focused on historical and ethical dimensions of humanitarian visual culture and action. Currently\, her focus is on challenging the pr omises/hopes of photorealistic generative AI and sharing diverse visual hi stories as a corrective intervention. Her postdoctoral work focused on mor al and practical dimensions of palliative care in refugee camps drawing at tention to small interventions having big impacts\, and the importance of co-design and partnered research. Dr. de Laat is an active member of the H umanitarian Health Ethics research group\, and the Canadian Network on Hum anitarian History. Representative publications include\, “Assembling a g lobal health image: Ethical and pragmatic tensions through the lenses of p hotographers” (PLOS Glob Public Health 2024)\, “A case analysis of par tnered research on palliative care for refugees in Jordan and Rwanda” (C onfl Health 2021)\, and “The Camera and the Red Cross: ‘Lamentable pic tures’ and Conflict Photography Bring into Focus an International Moveme nt\, 1855-1865” (IRRC 2021).
Certificate Eligibility: This workshop is eligible for the Sherman Centre'\;s certificate program. For more information\, visit scds.ca/certificate-program. I t is also eligible for the Canadian Certificate for Digital Humanities. To learn more\, visit ccdhhn.ca or contact scds@mcmaster.ca.
Credit Eligibility : This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions\, please contact oursci@mcmaster.ca.
LOCATION:Sherman Centre for Digital Scholarship (1st Floor\, Mills Library) SUMMARY:Visions of Generative AI: Historical and Ethical Dimensions of Visu al Media Literacy in the Era of AI URL;VALUE=URI:https://libcal.mcmaster.ca/event/3920117 END:VEVENT END:VCALENDAR