Jackie Leach Scully, Georgia van Toorn, Sandra Gendera
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Automating Misrecognition: The Case of Disability.
Over the last decade, bioethics has begun to address the ethical issues emerging as artificial intelligence (AI) and associated technological processes such as automated decision-making (ADM) become part of healthcare and research. Recent work on justice in AI demonstrates that supposedly neutral AI systems can perpetuate the marginalization of various communities. But so far, there has been little exploration of the interaction of AI and disability. In this empirically based project, we have explored the implications of ADM in the lives of people with disability in Australia. This paper focuses on a point that was consistently raised in discussion by disabled participants but is rarely encountered in the AI ethics literature, especially in relation to disability: the problem of automated systems' failures of recognition.
期刊介绍:
The JBI welcomes both reports of empirical research and articles that increase theoretical understanding of medicine and health care, the health professions and the biological sciences. The JBI is also open to critical reflections on medicine and conventional bioethics, the nature of health, illness and disability, the sources of ethics, the nature of ethical communities, and possible implications of new developments in science and technology for social and cultural life and human identity. We welcome contributions from perspectives that are less commonly published in existing journals in the field and reports of empirical research studies using both qualitative and quantitative methodologies.
The JBI accepts contributions from authors working in or across disciplines including – but not limited to – the following:
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feminism-
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linguistics and discourse analysis-
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