Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI

Autor:	McGarry, Glenn, Crabtree, Andy, Urquhart, Lachlan, Chamberlain, Alan
Rok vydání:	2024
Předmět:	Computer Science - Human-Computer Interaction K.4
Druh dokumentu:	Working Paper
DOI:	10.1145/3686038.3686041
Popis:	This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. We frame our observations with respect to notions of responsible innovation (RI) and the emerging problem of how to do RI in practice. In contribution to the ongoing discourse surrounding trustworthy autonomous system (TAS) [29], we illuminate practical challenges inherent in deploying novel AS within existing governance structures, including domain specific regulations and policies, and rigorous testing and development processes, and discuss the implications of these for the distribution of responsibility in novel AI deployment. Comment: To be published in Second International Symposium on Trustworthy Autonomous Systems, September 15 18, 2024, Austin, Texas
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.02386 Zobrazit plný text záznamu View this record from Arxiv