Framing ethical considerations on artificial intelligence bias applied to voice interfaces

Author(s):  
Luis Miguel Pedrero Esteban ◽  
Ana Pérez Escoda ◽  
Alberto Pedrero Esteban
AI & Society ◽  
2021 ◽  
Author(s):  
Milad Mirbabaie ◽  
Lennart Hofeditz ◽  
Nicholas R. J. Frick ◽  
Stefan Stieglitz

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.


2022 ◽  
pp. 104-130
Author(s):  
Andrew Cachia ◽  
Vanessa Camilleri ◽  
Alexiei Dingli ◽  
Michael Galea ◽  
Paulann Grech ◽  
...  

Mental health students, who are still undergoing training, might find it challenging to visualise and fully understand what their patients experience. For this reason, the authors created a virtual reality simulator which mimics the symptoms of a person suffering from schizophrenia at a virtual workplace. The simulation is managed by an artificial intelligence system which asks the user to attempt simple tasks, while simultaneously facing both visual and auditory hallucinations. The AI also adapts the storyline and character behaviour dynamically to increase the immersiveness of the experience. A pilot study was carried out, and the initial results were very encouraging. In fact, the absolute majority of the users stated that the simulation has helped increase their understanding of schizophrenia. In this chapter, the authors evaluate this experiment but from a different perspective. They focus mainly on the use of emerging technologies such as AI and VR and discuss the ethical considerations of their use within the field of mental health.


Diagnostics ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 231 ◽  
Author(s):  
Adrian P. Brady ◽  
Emanuele Neri

Artificial intelligence (AI) is poised to change much about the way we practice radiology in the near future. The power of AI tools has the potential to offer substantial benefit to patients. Conversely, there are dangers inherent in the deployment of AI in radiology, if this is done without regard to possible ethical risks. Some ethical issues are obvious; others are less easily discerned, and less easily avoided. This paper explains some of the ethical difficulties of which we are presently aware, and some of the measures we may take to protect against misuse of AI.


2019 ◽  
Vol 162 (1) ◽  
pp. 38-39
Author(s):  
Alexandra M. Arambula ◽  
Andrés M. Bur

Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the potential to enhance the efficiency of care delivery, diminish costs, and reduce diagnostic and therapeutic errors. As the field of otolaryngology also explores use of AI technology in patient care, a number of ethical questions warrant attention prior to widespread implementation of AI. This commentary poses many of these ethical questions for consideration by the otolaryngologist specifically, using the 4 pillars of medical ethics—autonomy, beneficence, nonmaleficence, and justice—as a framework and advocating both for the assistive role of AI in health care and for the shared decision-making, empathic approach to patient care.


2017 ◽  
Vol 24 (1) ◽  
pp. 110-110 ◽  
Author(s):  
Raja Chatila ◽  
Kay Firth-Butterflied ◽  
John C. Havens ◽  
Konstantinos Karachalios

2019 ◽  
Vol 33 (1) ◽  
pp. 47-49 ◽  
Author(s):  
Eike-Henner W. Kluge

The term Artificial Intelligence (AI) is systematically ambiguous between electronic expert systems that are used by healthcare professionals in carrying out their tasks and full AIs, which are stand-alone independent electronic entities that function much like human healthcare professionals except that they are electronic and not biological in nature. This discussion sketches the distinct ethical considerations that are relevant to the two kinds of AI while acknowledging that currently there are no full AIs.


2020 ◽  
Vol 122 ◽  
pp. 108768 ◽  
Author(s):  
Nabile M. Safdar ◽  
John D. Banja ◽  
Carolyn C. Meltzer

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