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  1. Decolonising Knowledge? Exploring the Potential of Biographic Research to Unlocking New Futures Zeta Dooly Lisa Moran PJ Wall
  2. Overview Collaboration on AI, ethics and socio- technical futures in Higher Education (TRAIEd) Trans-disciplinarity Intricate questions about knowledge and co-creation Knowledge Legitimation Narratives of AI and Reimagined Futures
  3. "Artificial Intelligence (AI) is no longer a staple of science fiction and is now actively influencing many aspects of our lives. From what we watch on streaming services to whom we interact on social media, and from what interest rates we are offered by credit card companies to the shortlisting for jobs, AIs impact us at many social and professional levels" (Wall, 2022, p. 1)
  4. Our Collaboration
  5. SFI National Challenge Fund - 'Entanglements of pedagogy' (Fawns, 2022), AI and societal impact Zeta – Digital education, KM expert, cybersecurity, SEERLab education experimentation PJ – Technology for sustainability; SFI EPE Champion, 2021 and 2022; INTEGRITY project Lisa – biographic, narrative researcher, policy analysis, Sociology of Scientific Knowledge (SSK) and Citizen Science
  6. Citizen Knowledge and AI
  7. Citizen Discourses of AI
  8. "Technology is advancing at a fast pace and whilst citizens are cognisant that AI holds the key for enhanced accessibility to education and transformative learning, improving the prospects for education, employment and quality of life for all citizens including frequently ‘hard to reach’ or so-called ‘vulnerable’ groups. However, it is not sufficiently transparent and accessible for citizens to understand what this means for them...."
  9. Multi-strand approach Public (dis)-engagement from AI and knowledge democratization 'Bottom up' approach Sociology of the Everyday 'Cultural Scripts' (Enticott and Vanclay, 2013) Science versus lay knowledge Technical expertise and commercialization Walton Institute Scholarship of teaching and learning Reflexivity, subjectivity and what constitutes 'valid knowledge' - autoethnography
  10. AI as Multidimensional Non-technical elements Discursive/narrative legitimation Reimagined meanings of knowledge
  11. Biographic Narrative Research Intricacies of human emotion; emotional expression and/or suppression Successive states of subjectivity (Wengraf, 2001, p. 14) 'Ubiquity of storytelling' (Moran et al 2021) Entanglements in everyday life – AI in 'common worlds' Reimagining dichotomies of knowledge and ethics This Photo by Unknown author is licensed under CC BY-NC-ND.
  12. Social construction of AI – algorithms, data and codes engender political, social and ethical dimensions (Joyce et al 2021) Usage is 'socially shaped' (Ibid) Healthcare, work, politics and policing (Sachs, 2019; Pugh, 2020) Agency versus structure-focused approaches Emotions, complexity of the everyday, politics of empowerment 'Decolonization' of AI Public scholarship
  13. New Narrative Terrains
  14. Reflections Terrains of complexity, beauty, non-linear, emotive Continually negotiated Researcher identity and self-development Multidimensionality of participants' understandings, lived realities, experiences
  15. "Honest autoethnographic exploration generates a lot of fears and self-doubt and emotional pain...Then, the real work begins. Then there is the vulnerability of revealing yourself, not being able to take back what you've written or having any control over how readers interpret your story" (Ellis, 2004, p. 14)
  16. Thank You! This Photo by Unknown author is licensed under CC BY.