Integrating AI in Social Engineering: Impacts and Ethics across Business, Medicine, and Industry

Artificial Intelligence (AI) is revolutionizing various critical sectors, including business, medicine, and industry, by enhancing social engineering practices. Traditional human skills in data analysis, predictive modeling, and strategic planning are being outpaced by AI's capabilities, turning what was once a predominantly psychological manipulation strategy into an advanced technological tactic. This transformation reflects the evolution of Social Engineering, given the mass integration of technological infrastructure and the increasing reliance on AI systems that anticipate and influence human behavior.

This Research Topic aims to thoroughly investigate the influence of AI on social engineering within these core areas, focusing on the intersection of technology and societal management. The goal is to dissect the applications of AI that foster new methods for engagement, control, and management in business frameworks, healthcare systems, and industrial operations. By deep diving into AI's transformative potential, the research will identify how advanced predictive and analytical tools influence human interactions, decision-making processes, and the overall social fabric of these sectors.

To encapsulate the full spectrum and implications of AI-driven social engineering, this call for papers sets clear boundaries and a diverse thematic focus. The scope includes:

Analyzing AI’s role in changing the approaches to business management, customer interaction, and market stability.
Investigating AI in medical settings, focusing on its impact on diagnostics, treatment personalization, and ethical data handling.
Examining the influence of AI in industry, especially concerning productivity and sustainable practices while taking into account workforce implications.
Contributions should address, but are not limited to, the following themes:

AI’s integration within business operations and its influence on urban and societal dynamics.
The applications and ethical dimensions of AI in industrial settings, including but not limited to automation and community engagement.
The role of AI in enhancing healthcare delivery and the accompanying ethical considerations.
Policy and privacy implications of AI across the examined sectors.
The broader societal impacts regarding privacy, data security, and human behavioral changes induced by AI in these sectors.
By exploring these facets, the research aspires to offer a comprehensive analysis of how AI-driven tools and methodologies can be ethically and sustainably wielded to enhance societal outcomes in the modern age.

Article types and fees

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

• Brief Research Report
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• ... 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
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Systematic Review
• Technology and Code

Keywords: AI, Social Engineering, Industry, Business

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.