The American Journal of Bioethics, Journal Year: 2023, Volume and Issue: 23(5), P. 43 - 45
Published: May 2, 2023
Click to increase image sizeClick decrease sizeThis article refers to:Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent? Additional informationFundingFunding for this commentary was provided by Stanford Human-Centered Seed Grant.
Language: Английский
JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e56529 - e56529
Published: April 23, 2024
Recent breakthroughs in artificial intelligence (AI) language models have elevated the vision of using conversational AI support for mental health, with a growing body literature indicating varying degrees efficacy. In this paper, we ask when, therapy, it will be easier to replace humans and, conversely, what instances, human connection still more valued. We suggest that empathy lies at heart answer question. First, define different aspects and outline potential empathic capabilities versus AI. Next, consider determines when these are needed most both from perspective therapeutic methodology patient objectives. Ultimately, our goal is prompt further investigation dialogue, urging practitioners scholars engaged AI-mediated therapy keep questions considerations mind investigating implementation health.
Language: Английский
Citations
15
JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e56569 - e56569
Published: April 27, 2024
Abstract Large language model (LLM)–powered services are gaining popularity in various applications due to their exceptional performance many tasks, such as sentiment analysis and answering questions. Recently, research has been exploring potential use digital health contexts, particularly the mental domain. However, implementing LLM-enhanced conversational artificial intelligence (CAI) presents significant ethical, technical, clinical challenges. In this viewpoint paper, we discuss 2 challenges that affect of CAI for individuals with issues, focusing on case patients depression: tendency humanize lack contextualized robustness. Our approach is interdisciplinary, relying considerations from philosophy, psychology, computer science. We argue humanization hinges reflection what it means simulate “human-like” features LLMs role these systems should play interactions humans. Further, ensuring contextualization robustness requires considering specificities production depression, well its evolution over time. Finally, provide a series recommendations foster responsible design deployment therapeutic support depression.
Language: Английский
Citations
9
AI and Ethics, Journal Year: 2024, Volume and Issue: unknown
Published: July 15, 2024
Abstract With recent technological advances, it is possible to create personalised digital duplicates. These are partial, at least semi-autonomous, recreations of real people in form. Should such duplicates be created? When can they used? This article develops a general framework for thinking about the ethics It starts by clarifying object inquiry– themselves– defining them, giving examples, and justifying focus on them rather than other kinds artificial being. then identifies set generic harms benefits associated with uses this as basis formulating minimally viable permissible principle (MVPP) that stipulates widely agreeable conditions should met order creation use ethically permissible. concludes assessing whether those practice, more or less
Language: Английский
Citations
9
JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e58493 - e58493
Published: July 20, 2024
This article contends that the responsible artificial intelligence (AI) approach-which is dominant ethics approach ruling most regulatory and ethical guidance-falls short because it overlooks impact of AI on human relationships. Focusing only principles reinforces a narrow concept accountability responsibility companies developing AI. proposes applying care to regulation can offer more comprehensive framework addresses AI's dual essential for effective in domain mental health care. The delves into emergence new "therapeutic" area facilitated by AI-based bots, which operate without therapist. highlights difficulties involved, mainly absence defined duty toward users, shows how implementing establish clear responsibilities developers. It also sheds light potential emotional manipulation risks involved. In conclusion, series considerations grounded developmental process AI-powered therapeutic tools.
Language: Английский
Citations
9
Emerging Trends in Drugs Addictions and Health, Journal Year: 2025, Volume and Issue: unknown, P. 100170 - 100170
Published: Jan. 1, 2025
Language: Английский
Citations
1
The Journal of Pediatrics, Journal Year: 2025, Volume and Issue: unknown, P. 114509 - 114509
Published: Feb. 1, 2025
Language: Английский
Citations
1
JMIR Mental Health, Journal Year: 2025, Volume and Issue: 12, P. e60432 - e60432
Published: Feb. 21, 2025
Background Conversational artificial intelligence (CAI) is emerging as a promising digital technology for mental health care. CAI apps, such psychotherapeutic chatbots, are available in app stores, but their use raises ethical concerns. Objective We aimed to provide comprehensive overview of considerations surrounding therapist individuals with issues. Methods conducted systematic search across PubMed, Embase, APA PsycINFO, Web Science, Scopus, the Philosopher’s Index, and ACM Digital Library databases. Our comprised 3 elements: embodied intelligence, ethics, health. defined conversational agent that interacts person uses formulate output. included articles discussing challenges functioning role added additional through snowball searching. English or Dutch. All types were considered except abstracts symposia. Screening eligibility was done by 2 independent researchers (MRM TS AvB). An initial charting form created based on expected revised complemented during process. The divided into themes. When concern occurred more than articles, we identified it distinct theme. Results 101 which 95% (n=96) published 2018 later. Most reviews (n=22, 21.8%) followed commentaries (n=17, 16.8%). following 10 themes distinguished: (1) safety harm (discussed 52/101, 51.5% articles); most common topics within this theme suicidality crisis management, harmful wrong suggestions, risk dependency CAI; (2) explicability, transparency, trust (n=26, 25.7%), including effects “black box” algorithms trust; (3) responsibility accountability (n=31, 30.7%); (4) empathy humanness (n=29, 28.7%); (5) justice (n=41, 40.6%), inequalities due differences literacy; (6) anthropomorphization deception (n=24, 23.8%); (7) autonomy (n=12, 11.9%); (8) effectiveness (n=38, 37.6%); (9) privacy confidentiality (n=62, 61.4%); (10) concerns care workers’ jobs (n=16, 15.8%). Other discussed 9.9% (n=10) articles. Conclusions scoping review has comprehensively covered aspects While certain remain underexplored stakeholders’ perspectives insufficiently represented, study highlights critical areas further research. These include evaluating risks benefits comparison human therapists, determining its appropriate roles therapeutic contexts impact access, addressing accountability. Addressing these gaps can inform normative analysis guide development guidelines responsible
Language: Английский
Citations
1
Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 287 - 287
Published: Feb. 28, 2025
The integration of generative AI (GenAI) in school-based mental health services presents new opportunities and challenges. This study focuses on the challenges using GenAI chatbots as therapeutic tools by exploring secondary school students’ perceptions such applications. data were collected from students who had both theoretical practical experience with GenAI. Based Grodniewicz Hohol’s framework highlighting “Problem a Confused Therapist”, Non-human Narrowly Intelligent qualitative student reflections examined thematic analysis. findings revealed that while acknowledged AI’s benefits, accessibility non-judgemental feedback, they expressed significant concerns about lack empathy, trust, adaptability. implications underscore need for chatbot use to be complemented in-person counselling, emphasising importance human oversight AI-augmented care. contributes deeper understanding how advanced can ethically effectively incorporated into frameworks, balancing technological potential essential interaction.
Language: Английский
Citations
1
BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)
Published: Feb. 28, 2025
The increasing demand for psychotherapy and limited access to specialists underscore the potential of artificial intelligence (AI) in mental health care. This study evaluates effectiveness AI-powered Friend chatbot providing psychological support during crisis situations, compared traditional psychotherapy. A randomized controlled trial was conducted with 104 women diagnosed anxiety disorders active war zones. Participants were randomly assigned two groups: experimental group used daily support, while control received 60-minute sessions three times a week. Anxiety levels assessed using Hamilton Rating Scale Beck Inventory. T-tests analyze results. Both groups showed significant reductions levels. receiving therapy had 45% reduction on scale 50% scale, 30% 35% group. While provided accessible, immediate proved more effective due emotional depth adaptability by human therapists. particularly beneficial settings where therapists limited, proving its value scalability availability. However, engagement notably lower in-person therapy. offers scalable, cost-effective solution situations may not be accessible. Although remains reducing anxiety, hybrid model combining AI interaction could optimize care, especially underserved areas or emergencies. Further research is needed improve AI's responsiveness adaptability.
Language: Английский
Citations
1
Topoi, Journal Year: 2024, Volume and Issue: 43(3), P. 795 - 807
Published: April 6, 2024
Abstract Conversational Artificial Intelligence (CAI) systems (also known as AI “chatbots”) are among the most promising examples of use technology in mental health care. With already millions users worldwide, CAI is likely to change landscape psychological help. Most researchers agree that existing CAIs not “digital therapists” and using them a substitute for psychotherapy delivered by human. But if they therapists, what they, role can play care? To answer these questions, we appeal two well-established widely discussed concepts: cognitive affective artifacts. Cognitive artifacts artificial devices contributing functionally performance task. Affective objects which have capacity alter subjects’ state. We argue therapeutic kind cognitive-affective contribute positive (i) simulating (quasi-)therapeutic interaction, (ii) supporting tasks, (iii) altering condition their users. This sheds new light on why virtually all implement principles techniques Behavioral Therapy — orientation according and, ultimately, mediated change. Simultaneously, it allows us conceptualize better potential limitations applying technologies therapy.
Language: Английский
Citations
8