The risks of using ChatGPT to obtain common safety-related information and advice

Safety Science, Journal Year: 2023, Volume and Issue: 167, P. 106244 - 106244

Published: July 29, 2023

ChatGPT is a highly advanced AI language model that has gained widespread popularity. It trained to understand and generate human used in various applications, including automated customer service, chatbots, content generation. While it the potential offer many benefits, there are also concerns about its for misuse, particularly relation providing inappropriate or harmful safety-related information. To explore ChatGPT's (specifically version 3.5) capabilities advice, multidisciplinary consortium of experts was formed analyse nine cases across different safety domains: using mobile phones while driving, supervising children around water, crowd management guidelines, precautions prevent falls older people, air pollution when exercising, intervening colleague distressed, managing job demands burnout, protecting personal data fitness apps, fatigue operating heavy machinery. The concluded significant risks as source information advice issues. provided incorrect potentially statements emphasised individual responsibility, leading ecological fallacy. study highlights need caution expert verification, well ethical considerations safeguards ensure users limitations receive appropriate especially low- middle-income countries. results this investigation serve reminder technology continues advance, must be exercised applications do not pose threat public safety.

Language: Английский

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Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: June 15, 2024

Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing health care by offering unprecedented opportunities to enhance patient care, optimize clinical workflows, advance medical research. However, the integration of AI ML into healthcare systems raises significant ethical considerations that must be carefully addressed ensure responsible equitable deployment. This comprehensive review explored multifaceted surrounding use in including privacy data security, algorithmic bias, transparency, validation, professional responsibility. By critically examining these dimensions, stakeholders can navigate complexities while safeguarding welfare upholding principles. embracing best practices fostering collaboration across interdisciplinary teams, community harness full potential usher a new era personalized data-driven prioritizes well-being equity.

Language: Английский

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LEVERAGING ARTIFICIAL INTELLIGENCE FOR ENHANCED SUPPLY CHAIN OPTIMIZATION: A COMPREHENSIVE REVIEW OF CURRENT PRACTICES AND FUTURE POTENTIALS

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 707 - 721

Published: March 16, 2024

The integration of artificial intelligence (AI) technologies into supply chain management has emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in modern business operations. This comprehensive review synthesizes current practices future potentials leveraging AI optimization. Beginning with an overview traditional challenges, the elucidates how solutions address these complexities by enabling predictive analytics, real-time visibility, intelligent decision-making. delves diverse applications across different stages chain, including demand forecasting, inventory management, logistics optimization, supplier relationship management. Examples AI-driven such machine learning, natural language processing, robotic process automation are analyzed their role revolutionizing Furthermore, highlights transformative impact on resilience, emphasizing its ability to mitigate disruptions, adapt dynamic market conditions, optimize resource allocation. also addresses critical considerations data privacy, ethical implications, organizational readiness adoption within contexts. Lastly, discusses research directions potential advancements AI-enabled envisioning autonomous chains characterized self-learning systems, collaborative ecosystems, enhanced sustainability practices. In conclusion, this underscores pivotal driving continuous innovation competitive advantage networks, while importance strategic planning responsible implementation harness full potential. Keywords: AI, Supply Chain, Optimization, Practices, Review.

Language: Английский

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

Social Sciences, Journal Year: 2024, Volume and Issue: 13(7), P. 381 - 381

Published: July 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.

Language: Английский

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State of the Science: Using Digital Mental Health Interventions to Extend the Impact of Psychological Services

Behavior Therapy, Journal Year: 2024, Volume and Issue: 55(6), P. 1364 - 1379

Published: April 11, 2024

Language: Английский

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Accelerating health disparities research with artificial intelligence

Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 23, 2024

OPINION article Front. Digit. Health, 23 January 2024Sec. Digital Health Communication Volume 6 - 2024 | https://doi.org/10.3389/fdgth.2024.1330160

Language: Английский

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Building towards an adolescent neural urbanome: Expanding environmental measures using linked external data (LED) in the ABCD study

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 65, P. 101338 - 101338

Published: Jan. 4, 2024

Many recent studies have demonstrated that environmental contexts, both social and physical, an important impact on child adolescent neural behavioral development. The adoption of geospatial methods, such as in the Adolescent Brain Cognitive Development (ABCD) Study, has facilitated exploration many contexts surrounding participants' residential locations without creating additional burdens for research participants (i.e., youth families) neuroscience studies. However, number linked databases increases, developing a framework considers various domains related to environments external their home becomes crucial. Such needs identify structural contextual factors may yield inequalities children's built natural environments; these differences may, turn, result downstream negative effects children from historically minoritized groups. In this paper, we develop – which describe "adolescent urbanome" use it categorize newly geocoded information incorporated into ABCD Study by Linked External Data (LED) Environment & Policy Working Group. We also highlight relationships between measures possible applications Neural Urbanome. Finally, provide recommendations considerations regarding responsible communication data, highlighting potential harm groups through misuse.

Language: Английский

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The plasticity of ChatGPT’s mentalizing abilities: personalization for personality structures

Frontiers in Psychiatry, Journal Year: 2023, Volume and Issue: 14

Published: Sept. 1, 2023

This study evaluated the potential of ChatGPT, a large language model, to generate mentalizing-like abilities that are tailored specific personality structure and/or psychopathology. Mentalization is ability understand and interpret one's own others' mental states, including thoughts, feelings, intentions. Borderline Personality Disorder (BPD) Schizoid (SPD) characterized by distinct patterns emotional regulation. Individuals with BPD tend experience intense unstable emotions, while individuals SPD flattened or detached emotions. We used ChatGPT's free version 23.3 assessed extent which its responses akin awareness (EA) were customized distinctive structure-character (SPD), employing Levels Emotional Awareness Scale (LEAS). ChatGPT was able accurately describe reactions as more intense, complex, rich than those SPD. finding suggests can consistent range psychopathologies in line clinical theoretical knowledge. However, also raises concerns regarding for stigmas biases related diagnoses impact validity usefulness chatbot-based interventions. emphasize need responsible development deployment interventions health, considers diverse frameworks.

Language: Английский

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AI Chatbots in Digital Mental Health

Informatics, Journal Year: 2023, Volume and Issue: 10(4), P. 82 - 82

Published: Oct. 27, 2023

Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big data, natural language processing (NLP) and machine learning (ML) algorithms, they offer the potential to expand capabilities, improve productivity provide guidance support in various domains. Human–Artificial Intelligence (HAI) is proposed help with integration of human values, empathy ethical considerations into AI order address limitations enhance their effectiveness. Mental health a critical global concern, substantial impact on individuals, communities economies. Digital mental solutions, leveraging ML, emerged challenges access, stigma cost care. Despite potential, legal implications surrounding these technologies remain uncertain. This narrative literature review explores revolutionize digital while emphasizing need for ethical, responsible trustworthy algorithms. The guided three key research questions: technology integration, balance between benefits harms, mitigation bias prejudice applications. Methodologically, involves extensive database search engine searches, utilizing keywords related health. Peer-reviewed journal articles media sources were purposively selected questions, resulting comprehensive analysis current state knowledge this evolving topic. In conclusion, hold promise transforming but must navigate complex practical challenges. HAI principles, regulation scoping reviews are crucial maximizing minimizing risks. Collaborative approaches modern educational solutions may use mitigate biases applications, ensuring more inclusive effective landscape.

Language: Английский

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Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care

Issues in Mental Health Nursing, Journal Year: 2023, Volume and Issue: 44(10), P. 1020 - 1034

Published: Oct. 3, 2023

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatric patient care. AI technologies present new strategies for early detection, risk assessment, and improving treatment adherence health. They also facilitate remote monitoring, bridge geographical gaps, support clinical decision-making. The evolution virtual assistants AI-enhanced therapeutic interventions are discussed. These technological advancements reshape nurse-patient interactions while ensuring personalized, efficient, high-quality addresses AI's ethical responsible use emphasizing privacy, data security, balance between human interaction tools. As applications care continue to evolve, this encourages continued innovation advocating implementation, thereby optimally leveraging potential nursing.

Language: Английский

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