Research Topic

Engaging Socially Vulnerable Populations with Artificial Intelligence Technologies

About this Research Topic

The definition of socially vulnerable populations may differ from region to region. In the United States, those often marginalized and underserved may include people with disabilities, certain racial and ethnic minorities, older adults, and children, among several others. In general, these populations tend to face disproportionate difficulties before, during, and after major disasters. Due to inequities in society, such populations have faced barriers to education and access to resources, which has been accentuated amid the COVID-19 pandemic. The COVID-19 pandemic has highlighted many inequities and challenges for said populations, especially in regards to technology.
The advancement of artificial intelligence (AI) technologies has contributed to the change and improvement of people’s daily lives during the past decade. It is critical to research on how AI technologies can be used to help socially vulnerable populations from every aspect of their daily lives.

We invite researchers and practitioners to submit their work contributing to help socially vulnerable populations with AI technologies. The expected submissions include, but not limited to, literature review on relevant topics, design and implementation and evaluation of innovative technology or system, methodologies, theories and theoretical models, opinions and insights. We particularly encourage authors using AI technologies to help socially vulnerable populations get prepared with emergency situations.

Topics of interest include, but are not limited to:
• How can AI technologies better assist socially vulnerable populations?
• Use of AI for socially vulnerable populations during the Pandemic;
• Voice search behavior of socially vulnerable populations during their information seeking processes;
• Voice agent assisting socially vulnerable populations;
• Voice interface design of information systems for socially vulnerable populations;
• Usability testing of artificial intelligence technologies or systems;
• Challenges presented to socially vulnerable populations in terms of usage of artificial intelligence technologies;
• The adoption of technologies, in particular AI technologies for socially vulnerable populations;
• Computer vision and/or robotics technologies for assisting vulnerable population.


Keywords: Socially Vulnerable Populations, Human Information Behavior, Information Visualization, Object Tracking and Detection, Visual Reasoning, Semantic Understanding, Artificial Intelligence, Voice Search, Human Robot Interaction, Visual Recognition


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.

The definition of socially vulnerable populations may differ from region to region. In the United States, those often marginalized and underserved may include people with disabilities, certain racial and ethnic minorities, older adults, and children, among several others. In general, these populations tend to face disproportionate difficulties before, during, and after major disasters. Due to inequities in society, such populations have faced barriers to education and access to resources, which has been accentuated amid the COVID-19 pandemic. The COVID-19 pandemic has highlighted many inequities and challenges for said populations, especially in regards to technology.
The advancement of artificial intelligence (AI) technologies has contributed to the change and improvement of people’s daily lives during the past decade. It is critical to research on how AI technologies can be used to help socially vulnerable populations from every aspect of their daily lives.

We invite researchers and practitioners to submit their work contributing to help socially vulnerable populations with AI technologies. The expected submissions include, but not limited to, literature review on relevant topics, design and implementation and evaluation of innovative technology or system, methodologies, theories and theoretical models, opinions and insights. We particularly encourage authors using AI technologies to help socially vulnerable populations get prepared with emergency situations.

Topics of interest include, but are not limited to:
• How can AI technologies better assist socially vulnerable populations?
• Use of AI for socially vulnerable populations during the Pandemic;
• Voice search behavior of socially vulnerable populations during their information seeking processes;
• Voice agent assisting socially vulnerable populations;
• Voice interface design of information systems for socially vulnerable populations;
• Usability testing of artificial intelligence technologies or systems;
• Challenges presented to socially vulnerable populations in terms of usage of artificial intelligence technologies;
• The adoption of technologies, in particular AI technologies for socially vulnerable populations;
• Computer vision and/or robotics technologies for assisting vulnerable population.


Keywords: Socially Vulnerable Populations, Human Information Behavior, Information Visualization, Object Tracking and Detection, Visual Reasoning, Semantic Understanding, Artificial Intelligence, Voice Search, Human Robot Interaction, Visual Recognition


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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Submission Deadlines

31 July 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 July 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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