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DTSTAMP:20260417T110922
CREATED:20240527T084258Z
LAST-MODIFIED:20240530T075311Z
UID:10000143-1721750400-1721757600@efi.ed.ac.uk
SUMMARY:Ethical responsibilities in displaying provocative AI artistic experiences
DESCRIPTION:Artists and creative makers are increasingly aware of the ethical quandaries associated with devising data-driven art and creative experiences. More care is being put into the data sets and models artists use\, licencing and IP issues\, and environmental impacts of data-driven art. But what are the ethical responsibilities artists have for displaying\, performing and exhibiting provocative experiences? Is there a unique role that AI plays in artistic experiences which are designed to provoke emotional reactions and new perspectives? What is the duty of care that artists have towards audiences\, particularly vulnerable audiences\, and how does the role of deception in artistic creations play into this duty? Are there parallels between ethics issues arising in the arts and other disciplines like medicine which could usefully contribute to guidance and best practice in this area? Where does responsibility lie for these concerns between the artist and institutions curating and displaying art\, and how are institutions engaging with these issues? At the end of the day\, it a “garbage in\, garbage out” situation? \n\n\n\nPlease join our panel of artists\, curators\, and researchers working across multiple disciplines to kick-start a participatory discussion exploring these challenging questions. \n\n\n\nPanelists\n\n\n\nCaitlin McDonald (panel chair): Postdoctoral Research Associate\, Creative Informatics. Caitlin’s data-informed memoir artworks explore vital questions about ethical responsibilities creatives have towards themselves as well as audiences. \n\n\n\nTheodore Koterwas: Lecturer\, Design Informatics. Theodore’s corpus of artwork draws critical attention to aspects of daily experience that often go unnoticed but profoundly impact on how we understand each other\, technology and the environment. \n\n\n\nKam Chan: co-Vice President\, Visual Arts Scotland; Engagement Producer\, Data + Design Lab\, EFI. As an artist and an artistic producer\, Kam is interested in the intersections of communication\, connection and consensus\, particularly expanding the narrative of how we inhabit and share spaces beyond ourselves. \n\n\n\nMark Daniels: Executive Director\, New Media Scotland. Mark’s curatorial work fosters artist and audience engagement with all forms of new media practice\, particularly in innovative and emergent creative practice as Chair of the Alt-w Fund. \n\n\n\nAgenda\n\n\n\n4:00-4:10Arrivals & introduction by Creativity\, AI and the Human Cluster Lead Caterina Moruzzi4:10-4:50Panel 4:50-4:55Pre-Q&A audience discussion activity in pairs/small groups4:50-5:05Q&A with panel5:05-6:00Mingling\, discussion and food6:00Disperse (to nearby pub if discussion is still lively!)\n\n\n\nSponsored by the Creativity\, AI and the Human Cluster and by Creative Informatics. \n\n\n\nImage: “Theodore Koterwas\, “When Do You Give Yourself Away?” Image credit: Chris Scott\, ‘There be Dragons: navigating the uncharted data territories of creative practice’ exhibition\, September 2022.”
URL:https://efi.ed.ac.uk/event/ethical-responsibilities-in-displaying-provocative-ai-artistic-experiences/
LOCATION:Bayes Centre\, The University of Edinburgh\, Room G.03\, 47 Potterrow\, Edinburgh\, Edinburgh\, EH8 9BT\, United Kingdom
CATEGORIES:Talk/Discussion
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DTSTART;TZID=Europe/London:20230324T140000
DTEND;TZID=Europe/London:20230324T160000
DTSTAMP:20260417T110922
CREATED:20230214T140247Z
LAST-MODIFIED:20240711T105304Z
UID:10000015-1679666400-1679673600@efi.ed.ac.uk
SUMMARY:Reimagining Universities: Speculative Scenarios for Higher Education
DESCRIPTION:Join Professor Sian Bayne\, Dr Michael Gallagher and Dr Jen Ross from the Centre for Research in Digital Education at the University of Edinburgh as we unsettle assumed futures and imagine new\, desirable ones for universities. The speakers will share their new speculative scenarios for Higher Education Futures in an event which will be a mix of research-sharing\, storytelling and collaboration. We will work with the audience to build visions of what higher education could look like in the context of expansive artificial intelligence\, amplified social activism\, cognitive enhancement\, changing human-machine relationships\, climate crisis\, unbundling and ennui. \n\n\n\nSpeaker Biographies\n\n\n\n\n\nSian Bayne\n\n\n\n\n\n\n\n\n\n\n\n\nSian Bayne is Professor of Digital Education at the University of Edinburgh\, and Director of Education at the Edinburgh Futures Institute. She directs the Centre for Research in Digital Education where her research is currently focused on higher education futures and on interdisciplinary and critical approaches to researching digital education. \n\n\n\n\n\n\n\n\n\n\nJen Ross\n\n\n\n\n\n\n\n\n\n\n\n\nJen Ross is a Senior Lecturer in Digital Education at the University of Edinburgh in Edinburgh\, Scotland. She is co-director of the Centre for Research in Digital Education\, and the MSc in Education Futures at the Edinburgh Futures Institute. Her research interests include cultural heritage futures and learning\, online distance education and digital cultures. Her recent book\, Digital Futures for Learning (2023)\, explores speculative approaches to researching and teaching about the future. \n\n\n\n\n\n\n\n\n\n\nMichael Gallagher\n\n\n\n\n\n\n\n\n\n\n\n\nMichael Gallagher is a Senior Lecturer in Digital Education\, a member of the Centre for Research in Digital Education\, and Programme Director of the MSc in Digital Education. He works with UNHCR\, Mastercard Foundation\, and the British Council on digital education research in Sub-Saharan Africa\, particularly with forcibly displaced populations. 
URL:https://efi.ed.ac.uk/event/reimagining-universities-speculative-scenarios-for-higher-education/
LOCATION:Bayes Centre\, The University of Edinburgh\, Room G.03\, 47 Potterrow\, Edinburgh\, Edinburgh\, EH8 9BT\, United Kingdom
CATEGORIES:Love Machine: Spring 2023
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