Facial recognition systems are increasingly common components of smartphones and other consumer digital devices. These technologies enable animated video-sharing applications, such as Apple’s animoji and memoji, Facebook Messenger’s masks and filters and Samsung’s AR Emoji. Such animations serve as technical phenomena translating moments of affective and emotional expression into mediated, trackable, and socially legible forms across a variety of social media platforms.
Through technical and historical analysis of these digital artifacts, the talk will explore the ways facial recognition systems classify and categorize racial identities in human faces in relation to emotional expression. Drawing on the longer history of discredited pseudosciences such as phrenology, the paper considers the dangers of both racializing logics as part of these systems of classification, and of how social media data regarding emotional expression gathered through these systems can be used to reinforce systems of oppression and discrimination.
Luke Stark is a Postdoctoral Researcher in the Fairness, Accountability, Transparency and Ethics (FATE) Group at Microsoft Research Montreal. His scholarship examines the history and contemporary societal impacts of AI and other digital media facilitating for social and emotional interaction. His work has been published in venues including Social Studies of Science, Media Culture and Society, History of the Human Sciences, and The International Journal of Communication. He has previously been a Postdoctoral Fellow in the Department of Sociology at Dartmouth College, a Fellow and Affiliate of the Berkman Klein Center for Internet & Society at Harvard University, and an inaugural Fellow with the University of California Berkeley’s Center for Technology, Society, and Policy. He holds a PhD from the Department of Media, Culture, and Communication at New York University, and an Honours BA and MA in History from the University of Toronto.
Worlds of Journalism, based on survey data from 67 countries, offers a truly global picture of journalists, their demographics, role orientations, perceptions of freedom, ethical considerations, and trust in public institutions. Based on her authorship of the demographic profiles of journalists, this talk will highlight some of the surprising results with regard to gender, age and education of journalists, and take up the findings of other chapters to convey an understanding of journalistic culture as it manifests itself in a politically diverse world.
Dr. Beate Josephi, Honorary Associate at the Department of Media and Communications at Sydney University, has been on the Advisory Board of the Worlds of Journalism Study project since its inception. She is the lead author of the chapter on ‘Profiles of Journalists: Demographic and Employment Patterns’, and contributing author to ‘Journalistic Culture in a Global Context’.
There’s a lot of discussion in many different fora about AI and Ethics. In this talk, Toby Walsh will attempt to identify what new issues AI brings to the table, as well as where AI requires us to address otherwise old issues. He will cover topics from driverless cars to Cambridge Analytica.
Toby Walsh is Scientia Professor of Artificial Intelligence at the University of New South Wales and Data61. He was named by the Australian newspaper as one of the “rock stars” of Australia’s digital revolution. Professor Walsh is a strong advocate for limits to ensure AI is used to improve our lives. He has been a leading voice in the discussion about autonomous weapons (aka “killer robots”), speaking at the UN in New York and Geneva on the topic. He is a Fellow of the Australia Academy of Science and recipient of the NSW Premier’s Prize for Excellence in Engineering and ICT. He appears regularly on TV and radio, and has authored two books on AI for a general audience, the most recent entitled 2062: The World that AI Made.