Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact

Social Sciences, Год журнала: 2024, Номер 13(7), С. 381 - 381

Опубликована: Июль 22, 2024

AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial address ethical concerns ensure responsible beneficial outcomes for individuals. This systematic review examines considerations surrounding implementation impact of artificial intelligence (AI) interventions in field well-being. To a comprehensive analysis, we employed structured search strategy across top academic databases, including PubMed, PsycINFO, Web Science, Scopus. The scope encompassed articles published from 2014 2024, resulting 51 relevant articles. identifies 18 key considerations, 6 associated with using wellbeing (privacy confidentiality, informed consent, bias fairness, transparency accountability, autonomy human agency, safety efficacy); 5 principles development technologies settings practice positive (ethical framework, stakeholder engagement, review, mitigation, continuous evaluation improvement); 7 practices, guidelines, recommendations promoting use (adhere transparency, prioritize data privacy security, mitigate involve stakeholders, conduct regular reviews, monitor evaluate outcomes). highlights importance By addressing privacy, bias, oversight, evaluation, can that like chatbots AI-enabled medical devices are developed deployed an ethically sound manner, respecting individual rights, maximizing benefits while minimizing harm.

Язык: Английский

---

AI Chatbots for Mental Health: A Scoping Review of Effectiveness, Feasibility, and Applications

Applied Sciences, Год журнала: 2024, Номер 14(13), С. 5889 - 5889

Опубликована: Июль 5, 2024

Mental health disorders are a leading cause of disability worldwide, and there is global shortage mental professionals. AI chatbots have emerged as potential solution, offering accessible scalable interventions. This study aimed to conduct scoping review evaluate the effectiveness feasibility in treating conditions. A literature search was conducted across multiple databases, including MEDLINE, Scopus, PsycNet, well using AI-powered tools like Microsoft Copilot Consensus. Relevant studies on chatbot interventions for were selected based predefined inclusion exclusion criteria. Data extraction quality assessment performed independently by reviewers. The yielded 15 eligible covering various application areas, such support during COVID-19, specific conditions (e.g., depression, anxiety, substance use disorders), preventive care, promotion, usability assessments. demonstrated benefits improving emotional well-being, addressing conditions, facilitating behavior change. However, challenges related usability, engagement, integration with existing healthcare systems identified. hold promise interventions, but widespread adoption hinges systems. Enhancing personalization context-specific adaptation key. Future research should focus large-scale trials, optimal human–AI integration, ethical social implications.

Язык: Английский

---

Artificial Intelligence for Psychotherapy: A Review of the Current State and Future Directions

Indian Journal of Psychological Medicine, Год журнала: 2024, Номер unknown

Опубликована: Июль 28, 2024

Background: Psychotherapy is crucial for addressing mental health issues but often limited by accessibility and quality. Artificial intelligence (AI) offers innovative solutions, such as automated systems increased availability personalized treatments to improve psychotherapy. Nonetheless, ethical concerns about AI integration in care remain. Aim: This narrative review explores the literature on applications psychotherapy, focusing their mechanisms, effectiveness, implications, particularly depressive anxiety disorders. Methods: A was conducted, spanning studies from January 2009 December 2023, empirical evidence of AI’s impact Following PRISMA guidelines, authors independently screened selected relevant articles. The analysis 28 provided a comprehensive understanding role field. Results: results suggest that can enhance psychotherapy interventions people with depression, especially chatbots internet-based cognitive-behavioral therapy. However, achieve optimal outcomes, necessitates resolving privacy, trust, interaction between humans AI. Conclusion: study emphasizes potential AI-powered therapy conversational address symptoms depression effectively. article highlights importance cautiously integrating into services, considering relationship should prioritize patient well-being assist professionals while also considerations prospective benefits

Язык: Английский

---

Can AI replace psychotherapists? Exploring the future of mental health care

Frontiers in Psychiatry, Год журнала: 2024, Номер 15

Опубликована: Окт. 31, 2024

against the growing prevalence of mental health issues (7,8).AI's role in care is multifaceted, encompassing predictive analytics, therapeutic interventions, clinician support tools, and patient monitoring systems (9). For instance, AI algorithms are increasingly used to predict treatment outcomes by analyzing data (10). Meanwhile, AI-powered such as virtual reality exposure therapy chatbot-delivered cognitive behavioral therapy, being explored, though they at varying stages validation (11,12). Each these applications evolving its own pace, influenced technological advancements need for rigorous clinical validation.AI's capabilities handling extensive datasets complex patterns position it a revolutionary force capable transforming offering advanced detection methods, personalized plans, platforms that could dramatically increase accessibility, reduce stigma, enhance (13,14,15,4).Furthermore, extends potentially replacing certain functions traditionally performed human psychotherapists. Innovations machine learning natural language processing have enabled like ChatGPT recognize process emotions, facilitating interactions once required nuanced understanding trained therapists (16,17). Preliminary studies suggest chatbots may help alleviate symptoms anxiety depression (18,19). However, often involve small participant groups lack long-term follow-up, making difficult draw definitive conclusions about their effectiveness. Consequently, while interventions hold promise, further research through large-scale, randomized controlled trials necessary establish efficacy sustainability over time.Studies shown can effectively depression, level interaction suggests machines might soon match or even surpass aspects psychotherapy (18,19,20,21).Although indicate short-term benefits, meta-analyses effects not be sustained long term, with no significant changes observed extended periods (22).As continues evolve become more deeply integrated into healthcare sector, potential fundamentally transform field undeniable. At time when reached pandemic proportions globally, affecting productivity quality life (23,24), innovative solutions urgent. AI's integration services offers promising avenues enhancing delivery improving efficiency. crucial approach this evolution caution. We must carefully address limitations AI, algorithmic bias, ethical concerns, oversight, prevent future disparities ensure complements rather than replaces essential elements psychotherapy. has assume many roles psychotherapists, This balanced will key harnessing benefits safeguarding accessibility care.The Artificial Intelligence (AI) Psychotherapy represents phase care, leveraging technology both accessibility. Initial experiments 1960s, notably ELIZA program, showcased mimicking human-like conversations (25). pioneering work established foundation increasing psychological assessment ensuing decades.The development 1980s aimed replicate expertise, leading diagnostic tools across various disciplines (26,27). By end 20th century, gave rise computerized (CBT) programs, which were designed provide structured, evidence-based common conditions (28). Although early basic current technologies, marked pivotal shift toward digital means As advanced, rapidly expanded encompass issues, creation introduction teletherapy enhancements (15,4).Continuing technology, driven increases computational power breakthroughs (NLP), sophisticated between users. models, particularly those utilizing transformer architecture OpenAI's (Version GPT-4o), demonstrate an exceptional capacity recognizing complexities emotion nuances (17). These models facilitate engaging adeptly interpret emotional states, providing contextually emotionally relevant response (29). Future expected introduce natural, real-time voice enable video, broadening Psychotherapy(30). The upcoming GPT-5 anticipated GPT-4, augmenting effectiveness extending range available patients (31).A study Elyoseph utilized Levels Emotional Awareness Scale (LEAS) assess ChatGPT's ability articulate emotions hypothetical scenarios (16). findings generate responses reflect awareness similar general population.However, it's important note 'understanding' based on pattern recognition modeling, genuine comprehension. Therefore, mimic responses, does experience humans do, area limited textual analysis generation.A groundbreaking measure ChatGPTs found matched sometimes exceeded population's levels. Such components comparable to, some cases surpasses, humans.This proficiency comprehension positions valuable tool care. example, been involved pilot where assisted identifying warning signs suicidal tendencies initial (32). Moreover, recent demonstrated generalpurpose Gemini Pro outperform traditional bots, Wysa Youper, correcting biases overtrust, fundamental attribution error, just-world hypothesis. In areas, GPT-4 scored highest, bots lowest (33).These underscore effective support, contexts professionals scarce.To illustrate how ChatGPT-4 function context, consider following scenario involving individual seeking from platform.Alex experiencing related stress. Unable access immediate professional help, Alex turns app powered support.Alex: "I've feeling really overwhelmed lately. Deadlines piling up, I can't seem catch up."ChatGPT-4: "I'm sorry hear you're way. It sounds under lot pressure.Would you talk what's causing feelings, perhaps explore strategies manage your stress?" Alex: "I just feel matter much never enough. I'm worried going let everyone down."ChatGPT-4: "It seems fear disappointing others, quite stressful.Remember, acknowledge efforts. Would discussing management techniques ways set realistic expectations helpful?"In interaction, provides empathetic validates Alex's coping strategies. example demonstrates AI-driven offer assistance, especially individuals who prefer anonymity convenience platform.The promises transformative each highlighted research. Cunzhou Ran's using communication, indicating (34). Graham explores use diagnosing treating disorders, suggesting enhanced accuracy plans (35). Saadia Gabriel's examination Large Language Models settings reveals broaden (36), emphasizes stringent standards.Lastly, Gilmar Gutierrez's review online underscores adherence engagement continuous (37). Collectively, significantly augment psychotherapeutic practice, careful consideration implications essential.Human committed face constraints terms physical resources impact large caseloads. model psychotherapy, involves one-on-one sessions lasting thirty minutes hour, inherently limits number therapist see daily. limitation becomes acute regions Can Replace Psychotherapists? high demand but professionals. scarcity lead increased wait times patients, delaying critical exacerbating conditions. Extended result deterioration conditions, poses serious challenges globally (38,39).The psychotherapists intense labor routinely engage distress clients. constant high-stress situations requires substantial investment burnout. Symptoms burnout among manifest exhaustion, depersonalization, reduced sense personal accomplishment, only impacts job satisfaction also affects performance. Over time, empathy attentiveness-key therapy-thereby negatively impacting satisfaction. toll thus higher turnover professionals, straining system provided (40,41,42).Personalization effectiveness, yet inherent extensively accurately tailor approaches patient. Despite best efforts, memory affect therapist's consistently integrate recall detailed histories subtle periods.These hinder fully personalize complex, co-morbid require approach. contrast, remember vast amounts information without prospects supporting precise interventions. handle datasets, identify patterns, details greater therapists, improved planning (43,44,45).AI enhances scalability services. Unlike presence geographic resource constraints, operate continuously fatigue. crucial, scarce (46,47).Additionally, costs, affordable accessible. economic operational reach well-documented(48).One unique advantages candidness openness exhibit interacting machines. Studies sometimesmore willing disclose sensitive due perceived non-judgmental nature (49,50). phenomenon honest exchanges during sessions, allowing accurate assessments treatment. absence judgment encourages disclosures stigma associated (21).AI consistency practitioners find challenging achieve variations mood, fatigue, bias. apply same standards protocols every ensuring all receive (51,52). Furthermore, influence judgment. programmed ignore irrelevant factors race, gender, socio-economic status, promoting equitable environment (53).While strong capabilities, still retention integration. Current external processes summarize track maintain coherent relationship oversight (54,55,56). continuity struggle retain past fragmented inconsistent interactions. remains currently advantage systems.Algorithmic bias concern application Akter, arise train unequal socioeconomic perpetuating existing (57). efforts minimize biases, unavoidable decisions made systems. settings, presented what emphasized. reflects priorities developers, unintended consequences patients.While AI-based therapies reducing short questionable. indicated diminish improvements observed(?). inability adapt needs periods. adjust ongoing deeper patient's history, flexibility term. highlights hybrid supports replace element psychotherapy.Beyond technical raises questions regarding privacy, autonomy, stigmatization patients. noted Walsh, systems, utilize biomarkers other data, navigate balance respecting privacy autonomy (58). design implementation prioritize considerations, including mitigate transparency, trust (59). Without misdiagnosis erosion therapists. Additionally, concept precision psychiatry, leverages needs, presents challenges. Fusar-Poli et al. (2022) emphasize bring psychiatric care(60).Despite there areas falls compared Firstly, form deep connections Human build rapport, (61,62). cannot authentically resonance, emotions. Secondly, rely intuition (63). They cues real-time, something do reliance predefined algorithms. adept interpreting non-verbal body facial expressions(64), insight state. text-based interactions, perceive cues. cultural competence sensitivity excel. align background(65), whereas grasp nuances, misunderstandings. Lastly, history(66). personalization extent, less experiences.As artificial intelligence advance, sophistication holds reshape landscape play addressing global service gap limited. scalable costeffective barriers cost, logistical challenges.However, limitations. Challenges retention, considerations empathy, judgment, cues-qualities intrinsic Sample al.be implemented complement competence, therapy.In emerging paradigm, envisioned replacement powerful automating routine tasks scarce, resources. Nevertheless, pursued caution, emphasizing fairness, respect rights, necessity oversight. Ongoing longterm safety When managed responsibly, progression step inclusive strategy, blending innovation irreplaceable value connection. undergoes another iteration, portion merely possibility likely scenario. towards gap, under-resourced starkly care.However, begins limitations.The cost-effective Yet, new individual, regardless location rights. progression, strategy.

Язык: Английский

---

Unleashing the potential of chatbots in mental health: bibliometric analysis

Frontiers in Psychiatry, Год журнала: 2025, Номер 16

Опубликована: Фев. 4, 2025

Background The proliferation of chatbots in the digital mental health sector is gaining momentum, offering a promising solution to address pressing shortage professionals. By providing accessible and convenient services support, are poised become primary technological intervention bridging gap between needs available resources. Objective This study undertakes thorough bibliometric analysis discourse on applications health, with objective elucidating underlying scientific patterns that emerge at intersection chatbot technology care global scale. Methods software Biblioshiny VOSviewer were used conduct comprehensive 261 articles published Web Science Core Collection 2015 2024. Publications distribution analyzed measure productivity countries, institutions, sources. Scientific collaboration networks generated analyze influence as well communications countries institutions. Research topics trends formulated by using keyword co-occurrence network. Results Over last decade, researches utilization has appeared be increasing steadily an annual rate 46.19%. United States have made significant contributions development expansion publications, accounting for 27.97% total research output 2452 citation counts. England came second US terms publications citations, followed Australia, China, France. National Center France ranked first among all Imperial College London University Zurich. number Journal Medical Internet was exceptionally high, 12.26% articles, JMIR Mental Health most influential publication sources average citations per article. Collaboration universities USA, Kingdom, Switzerland, Singapore demonstrated high level. network highlights prominent techniques this multidisciplinary area reveals 5 topics, showing overlap clusters. High-frequency such “ChatGPT”, “machine learning”, “large language models” underscore current state research, highlighting cutting-edge advancements frontiers field. Conclusions provides in-depth status, associated over decade. It offers insights professionals without AI background individuals interested chatbots. findings suggest hold role promoting well-being exhibit considerable potential demonstrating empathy, curiosity, understanding, collaborative capabilities users.

Язык: Английский

---

Capacity Building for Student Teachers in Learning, Teaching Artificial Intelligence for Quality of Education

Societies, Год журнала: 2024, Номер 14(8), С. 148 - 148

Опубликована: Авг. 10, 2024

The future of education relies on the integration information technologies, emphasizing importance equity and inclusiveness for quality education. Teacher programs are essential fostering qualified educators future. Integrating AI in is crucial to ensure inclusivity comprehensive services all. This study aims evaluate student teachers’ perceptions using learning teaching, provide suggestions enhancing sustainable through technologies. A qualitative research design was adopted gather experiences from 240 teachers who participated a seminar usage completed self-reflection tasks. These teachers, enrolled various teaching methods principal courses, contributed thematic analysis. reveals that should be carefully planned incorporated into lesson plans enhance personalized learning. Student reported supports motivates process, effectively transforming students’ needs experiences. However, they also noted potential drawbacks, such as imposing restrictions profession, replacing producing biased results. suggests capacity-building strategies enriched across different courses raise awareness about AI’s applications.

Язык: Английский

---

Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education

Informatics, Год журнала: 2024, Номер 11(2), С. 37 - 37

Опубликована: Июнь 3, 2024

Generative AI refers specifically to a class of Artificial Intelligence models that use existing data create new content reflects the underlying patterns real-world data. This contribution presents study aims show what current perception arts educators and students education is with regard generative Intelligence. It qualitative research using focus groups as collection technique in order obtain an overview participating subjects. The design consists two phases: (1) generation illustrations from prompts by students, professionals tool; (2) (N = 5) artistic education. In general, coincides usefulness tool support illustrations. However, they agree human factor cannot be replaced AI. results obtained allow us conclude can used motivating educational strategy for

Язык: Английский

---

Incorporating AI into the Inner Circle of Emotional Intelligence for Sustainability

Sustainability, Год журнала: 2024, Номер 16(15), С. 6648 - 6648

Опубликована: Авг. 3, 2024

This paper delves into the fusion of artificial intelligence (AI) and emotional (EQ) by analyzing frameworks international sustainability agendas driven UNESCO, WEF, UNICEF. It explores potential AI integrated with EQ to effectively address Sustainable Development Goals (SDGs), a focus on education, healthcare, environmental sustainability. The integration use is pivotal in using improve educational outcomes health services, as emphasized UNESCO UNICEF’s significant initiatives. highlights evolving role understanding managing human emotions, particularly personalizing education healthcare. proposes that ethical AI, combined principles, has power transform societal interactions decision-making processes, leading more inclusive, sustainable, healthier global community. Furthermore, this considers dimensions deployment, guided UNESCO’s recommendations ethics, which advocate for transparency, accountability, inclusivity developments. also examines World Economic Forum’s insights AI’s revolutionize learning healthcare underserved populations, emphasizing significance fair advancements. By integrating perspectives from prominent organizations, offers strategic approach combining EQ, enhancing capacity systems meaningfully challenges. In conclusion, advocates establishment new Goal, SDG 18, focused across all sectors, ensuring technology advances well-being humanity

Язык: Английский

---

A review on the efficacy of artificial intelligence for managing anxiety disorders

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Окт. 16, 2024

Anxiety disorders are psychiatric conditions characterized by prolonged and generalized anxiety experienced individuals in response to various events or situations. At present, regarded as the most widespread globally. Medication different types of psychotherapies employed primary therapeutic modalities clinical practice for treatment disorders. However, combining these two approaches is known yield more significant benefits than medication alone. Nevertheless, there a lack resources limited availability psychotherapy options underdeveloped areas. Psychotherapy methods encompass relaxation techniques, controlled breathing exercises, visualization exposure cognitive interventions such challenging negative thoughts. These vital disorders, but executing them proficiently can be demanding. Moreover, with distinct prescribed medications that may cause withdrawal symptoms some instances. Additionally, inadequate face-to-face restricted capacity predict monitor health, behavioral, environmental aspects during initial phases. In recent years, has been notable progress developing utilizing artificial intelligence (AI) based applications environments improve precision sensitivity diagnosing treating categories As result, this study aims establish efficacy AI-enabled addressing existing challenges managing reducing reliance on medication, investigating potential advantages, issues, opportunities integrating AI-assisted healthcare enabling personalized therapy.

Язык: Английский

---

AI Chatbots for Psychological Health for Health Professionals: A Scoping Review (Preprint)

JMIR Human Factors, Год журнала: 2025, Номер 12, С. e67682 - e67682

Опубликована: Фев. 14, 2025

Health professionals face significant psychological burdens including burnout, anxiety, and depression. These can negatively impact their well-being patient care. Traditional health interventions often encounter limitations such as a lack of accessibility privacy. Artificial intelligence (AI) chatbots are being explored potential solutions to these challenges, offering available immediate support. Therefore, it is necessary systematically evaluate the characteristics effectiveness AI designed specifically for professionals. This scoping review aims existing literature on use support among Following Arksey O'Malley's framework, comprehensive search was conducted across eight databases, covering studies published before 2024, backward forward citation tracking manual searching from included studies. Studies were screened relevance based inclusion exclusion criteria, 2465 retrieved, 10 met criteria review. Among studies, six delivered via mobile platforms, four web-based all enabling one-on-one interactions. Natural language processing algorithms used in cognitive behavioral therapy techniques applied Usability evaluated through participant feedback engagement metrics. Improvements depression, burnout observed although one reported an increase depressive symptoms. show tools by personalized accessible interventions. Nonetheless, further research required establish standardized protocols validate Future should focus refining chatbot designs assessing diverse

Язык: Английский

---