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Practice theory, trust and artificial intelligence (Duncan Reynolds)
Manage episode 376438692 series 3509680
תוכן מסופק על ידי APOLLO Social Science Team, QMUL, APOLLO Social Science Team, and QMUL. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי APOLLO Social Science Team, QMUL, APOLLO Social Science Team, and QMUL או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Practice theory, trust and artificial intelligence
The social sciences give us tools to understand the human and moral dimensions of health care. This podcast explores the borderlands of social theory and health by inviting researchers to share the ideas that have inspired and shaped their own thinking and practice. In this first episode, we hear from Duncan Reynolds, a postdoctoral researcher in the APOLLO research group who is working on the AI Multiply project.
The three ideas that Duncan speaks about are:
- Practice Theory, Work, and Organization: An Introduction Book - by Davide Nicolini (OUP, 2012)
- ‘Trust my doctor, trust my pancreas’: trust as an emergent quality of social practice - by Simon Cohn (Philosophy, Ethics and Humanities in Medicine, 2015)
- ‘If You’re Going to Trust the Machine, Then That Trust Has Got to be Based on Something’: Validation and the Co-Constitution of Trust in Developing Artificial Intelligence (AI) for the Early Diagnosis of Pulmonary Hypertension (PH) - by Winter and Carusi (Science and Technology Studies, 2022)
The APOLLO Social Science research group is based at Queen Mary University of London. You can find out more about Duncan's work and the APOLLO Social Science group at https://www.apollosocialscience.org/
This podcast is powered by Pinecast.
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