About this Research Topic

Background

Artificial intelligence (AI) is increasingly becoming a pivotal force in transforming various sectors, notably healthcare, by enhancing disease diagnosis, optimizing treatment methods, and broadening access to medical care. Despite these promising advancements, AI also poses potential risks to human health, particularly through its influence on social determinants of health. Concerns have been raised about AI's capacity to manipulate and control populations, potentially leading to adverse health outcomes on a global scale. The nascent stage of AI's capabilities necessitates a thorough understanding of its potential drawbacks, such as privacy breaches, dissemination of misinformation, algorithmic biases, and exacerbation of socioeconomic disparities. Current studies highlight the urgent need for clear policies to combat health misinformation on digital platforms and establish consistent strategies to mitigate these risks. While AI-focused research and development present opportunities to avert significant harms, the absence of robust regulations could lead to detrimental consequences.

This research topic aims to delve into the potential risks associated with AI in everyday life, particularly concerning well-being across all age groups, and to explore strategies for managing these risks. The objective is to illuminate the current landscape of AI's impact on daily life and individual well-being, especially as AI becomes increasingly integrated into family and educational settings. By examining the mechanisms through which AI affects well-being, this research seeks to provide insights into the implications for individuals and inform future policy and practice.

To gather further insights into the potential risks and management strategies of AI in everyday well-being, we welcome articles addressing, but not limited to, the following themes:

• the etiology of well-being related problems/downsides concerning the different AI activities among people of all ages
• the well-being related consequences connected to AI use/activity
• prevention, harm-reduction strategies, and intervention connected to potential AI-related downsides
• the assessment of AI involvement and its related impacts.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Registered Report
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: artificial intelligence, developmental and psychosocial effects studies, qualitative studies, cross-sectional studies, cross-cultural studies, longitudinal studies

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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