AI as a Mental Health Therapist for Adolescents

Opel, Douglas J.; Kious, Brent M.; Cohen, I. Glenn

doi:10.1001/jamapediatrics.2023.4215

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…5 When these brain-computer interfaces become bidirectional, they can provide somatosensory feedback, including perceptions of pressure or warmth, or even disable fear, and could also be used for the enhancement of able-bodied individuals (Jecker and Ko, 2022a, b). Recently, generative AI for the creation of visual and performance art, as well as for multiple medical fields (especially radiology, mental health, and drug development), is being explored (Rajpurkar and Lungren, 2023;Howell et al, 2024;Rengers et al, 2024;Opel et al, 2023). Here, the concepts of non-human agency or "assemblages" of human and non-human (Lupton, 2019) become particularly evident.…”

Section: Being As Co-being and Actions As Co-actionsmentioning

confidence: 99%

Not Relational Enough? Towards an Eco-Relational Approach in Robot Ethics

Puzio

2024

Philos. Technol.

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With robots increasingly integrated into various areas of life, the question of relationships with them is gaining prominence. Are friendship and partnership with robots possible? While there is already extensive research on relationships with robots, this article critically examines whether the relationship with non-human entities is sufficiently explored on a deeper level, especially in terms of ethical concepts such as autonomy, agency, and responsibility. In robot ethics, ethical concepts and considerations often presuppose properties such as consciousness, sentience, and intelligence, which are exclusively aligned with humans. I will challenge the understanding of these properties by anchoring them in contexts, bodies, and actions. This approach allows to consider the specific ways of being of various human and non-human entities and to identify these properties in non-human entities as well. My “eco-relational” approach posits that it is crucial to consider the relationality with non-human entities such as animals and technology in central ethical concepts from the beginning. This approach reflects the “eco”, the entire house in which we live including animals and robots. To support this, I examine two dominant approaches in robot ethics within the contemporary Western tradition: the “properties approach” and modestly relational approaches. I will develop an eco-relational approach as an alternative. Employing a phenomenological method, I will demonstrate through various examples that our properties and actions are inherently connected with non-human entities. I will show that robots play a central role in our properties and actions, leading to concepts such as hybrid actions and non-human agency. It becomes clear that technology and our relationships with it disrupt traditional ethical concepts.

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Section: Being As Co-being and Actions As Co-actionsmentioning

confidence: 99%

Not Relational Enough? Towards an Eco-Relational Approach in Robot Ethics

Puzio

2024

Philos. Technol.

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“…Using the example of conversational artificial intelligence (CAI) applications such as chatbots, it is important to ensure that established biases against marginalized populations are considered as CAI models are trained (Opel et al, 2023). A recent review of the presence of racial bias in clinical ML methods suggested that more consistent adoption of algorithmic fairness principles in medicine is required and that standards for data and ML model reporting availability require more attention (Huang et al, 2022).…”

Section: Using Artificial Intelligence To Help Mitigate Challenges In...mentioning

confidence: 99%

“…The COVID‐19 pandemic exacerbated this public health crisis, with a skyrocketing incidence of EDs and unprecedented spikes in hospital admissions and emergency room visits noted in adolescents globally (Devoe et al, 2023; Spettigue et al, 2021). Higher rates of patient presentations have contributed to already overburdened and inequitable mental health (MH) systems, reaching a critical point in which alternative solutions are required to address the mismatch between patient needs and available services (Opel et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders

Norris,

Obeid,

El‐Emam

2024

Intl J Eating Disorders

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ObjectiveTo provide a brief overview of artificial intelligence (AI) application within the field of eating disorders (EDs) and propose focused solutions for research.MethodAn overview and summary of AI application pertinent to EDs with focus on AI's ability to address issues relating to data sharing and pooling (and associated privacy concerns), data augmentation, as well as bias within datasets is provided.ResultsIn addition to clinical applications, AI can utilize useful tools to help combat commonly encountered challenges in ED research, including issues relating to low prevalence of specific subpopulations of patients, small overall sample sizes, and bias within datasets.DiscussionThere is tremendous potential to embed and utilize various facets of artificial intelligence (AI) to help improve our understanding of EDs and further evaluate and investigate questions that ultimately seek to improve outcomes. Beyond the technology, issues relating to regulation of AI, establishing ethical guidelines for its application, and the trust of providers and patients are all needed for ultimate adoption and acceptance into ED practice.Public SignificanceArtificial intelligence (AI) offers a promise of significant potential within the realm of eating disorders (EDs) and encompasses a broad set of techniques that offer utility in various facets of ED research and by extension delivery of clinical care. Beyond the technology, issues relating to regulation, establishing ethical guidelines for application, and the trust of providers and patients are needed for the ultimate adoption and acceptance of AI into ED practice.

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