Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study

Frontiers in Digital Health, Год журнала: 2025, Номер 7

Опубликована: Янв. 27, 2025

Background The growth of the use artificial intelligence (AI) and robotic solutions in healthcare is accompanied by high expectations for improved efficiency quality services. However, such technologies can be a source anxiety patients whose experiences with technology differ from medical staff's. This study assessed attitudes toward AI robots delivering health services performing various tasks medicine related fields Polish society. Methods 50 semistructured in-depth interviews were conducted participants diversified socio-demographic profiles. interviewees initially recruited convenience sample; then, process was continued using snowballing technique. transcribed analyzed MAXQDA Analytics Pro 2022 program (release 22.7.0). An interpretative approach to qualitative content analysis applied responses research questions. Results yielded three main themes: positive negative perceptions ontological concerns about AI, which went beyond objections usefulness technology. Positive associated overall higher trust technology, need adequately respond demographic challenges, conviction that lower workload personnel. Negative originated convictions regarding unreliability lack proper technological political control over AI; an equally important topic inability entities feel express emotions. third theme potential interaction machines equipped human-like traits insecurity. Conclusions showed patients' vary according their recognition urgent problems (staff workload, time diagnosis), beliefs reliability functioning new technologies. Emotional contact looking or like humans are also respondents' attitudes.

Язык: Английский

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Innovating responsibly: ethical considerations for AI in early childhood education

Опубликована: Март 4, 2025

Abstract The rapid integration of artificial intelligence (AI) into early childhood education (ECE) presents transformative possibilities but raises urgent ethical challenges that demand immediate attention. This scoping review examines 42 studies to explore key concerns in four interconnected areas: data privacy, impacts on child development, algorithmic bias, and regulatory frameworks. Findings reveal significant gaps safeguarding children’s sensitive data, with inadequate protections against breaches, profiling, misuse. Emotional AI tools, such as social robots emotion-recognition technologies, offer novel learning opportunities risk undermining relational fostering overreliance, manipulation, or loss autonomy. lack developmentally appropriate design systems further exacerbates these risks, failing align technological solutions the unique needs young learners. Algorithmic driven by non-representative datasets, perpetuates systemic inequities, disproportionately affecting marginalized communities eroding fairness. Regulatory frameworks are fragmented inconsistent, often lacking provisions tailored vulnerabilities children mechanisms for global enforcement. To address challenges, this study highlights urgency establishing prioritize transparency, minimization, cultural inclusivity. Engaging educators, parents, participatory governance is essential developmental uphold rights. These findings underscore need sustained efforts ensure ECE foster equitable environments, well-being learners while advancing innovation responsibly.

Язык: Английский

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AI teachers (AI-based robots as teachers): history, potential, concerns and recommendations

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 21, 2025

Although Artificial intelligence (AI) has been used in education for a long time, its popularity and spread have witnessed exponential growth since the launch of ChatGPT. It can be as tool, teaching assistant, or teacher. AI teacher (AI-based robot teacher) is not new concept with first robots 1970s; however, most research usage focused on tool assistant. This article looks at teachers’ history, some key cases, potential benefits, concerns challenges associated their use classrooms. Overcoming shortage, flexibility, transparency, unbiasedness, improving students’ motivation were benefits; while being untested unreliable, cost, need specific infrastructure technical expertise, resistance to change, ethical issues, fears dehumanizing desensitizing students main challenges. We suggest co-teaching teachers using four different approaches. Through them, human work together classrooms maximize effectiveness teaching-learning process.

Язык: Английский

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Generative Artificial Intelligence (ChatGPT‐4) and Social Media Impact on Academic Performance and Psychological Well‐Being in China's Higher Education

European Journal of Education, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 13, 2024

ABSTRACT The rapid advancement of generative artificial intelligence (GAI) and the extensive use social media have transformed how students engage with educational materials interact their peers. Collaborative learning (CL) platforms, empowered by (AI) algorithms, gained popularity due to potential enhance outcomes provide personalised experiences. This research examines effects AI (ChatGPT‐4) on young students' academic performance psychological well‐being, focusing CL. study conceptual framework was examined based a sample 441 Chinese university students. statistical technique PLS‐SEM is put into practice measure structural well‐being. findings this show that positively influence Additionally, results CL mediates between media, Conversely, it negatively association (ChatGPT‐4), (AP), can facilitate better understanding implications technologies in context subsequently aid formulating evidence‐based strategies optimise impact students's success

Язык: Английский

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State-of-the-arts methods for studying factors driving the utilization of open science resources

MethodsX, Год журнала: 2024, Номер 14, С. 103125 - 103125

Опубликована: Дек. 21, 2024

Язык: Английский

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