About this Research Topic
Artificial Intelligence (AI) is at the forefront of revolutionizing social engineering practices, particularly within the critical sectors of business, medicine, and industry. This transformation is propelled by AI's high proficiency in data analysis, predictive modeling, and strategic planning, areas traditionally mastered by human intelligence. In the contemporary landscape, the concept of Social Engineering has significantly evolved, transitioning from its former association with psychological manipulation to a sophisticated strategy empowered by technological advancements.
The integration of AI in social engineering represents a paradigm shift, offering innovative solutions to age-old problems but also introducing complex questions about privacy, equity, and the very fabric of human interaction. In business, AI is reshaping organizational structures and market dynamics, influencing everything from operational efficiency to customer engagement strategies. In medicine, it promises to revolutionize patient care through precision diagnostics and personalized treatment plans, yet it raises critical issues around data security and the potential for algorithmic bias. In industry, AI's potential to enhance productivity and sustainability is weighed against its impact on employment and the workforce.
This Research Topic seeks to explore the multifaceted role of AI in social engineering across these three pivotal sectors. It aims to provide an in-depth analysis of how AI technologies are being developed and applied to drive societal change, enhance human well-being, and address complex challenges.
Contributions are invited to cover a broad range of topics, including but not limited to:
- AI in Business Social Engineering: Explores how AI is transforming customer relations, marketing strategies, organizational behavior, and other aspects within the business sector. Further, the contributions can highlight how AI-driven social engineering strategies are transforming urban and societal dynamics, including smart cities, urban planning, community engagement, infrastructure management, and public services
- AI and Social Engineering in Industry: Delves into AI applications in manufacturing processes, worker safety, ethical automation, sustainable farming practices, rural community engagement and industry 4.0
- AI and Social Engineering in Medicine: Examines the application of AI in the healthcare domain, taking into account patient advantages, the streamlining of diagnosis and treatment planning through machine learning algorithms for analyzing intricate medical data, and the improvement of clinical decision-making processes. This exploration also addresses ethical concerns and challenges associated with patient data management
- Ethical and Policy Considerations of AI in Business, Industry, and Medicine: Addresses the ethical, legal, and policy implications of AI-driven social engineering across sectors
- AI, Privacy, and Data Security in Business, Industry, and Medicine: Investigates the challenges related to privacy and data security in the implementation of AI across these sectors
- AI and Human Behavior in Business, Industry, and Medicine: Examines the impact of AI on human behavior, decision-making, and social norms within the above mentioned key sectors
Original research papers that provide new insights into the development and application of AI-Driven Social Engineering in these sectors are welcome. Submissions may include empirical studies, theoretical analyses, policy evaluations, or case studies. Papers that offer innovative policy solutions or address the societal implications of AI in emerging and developing countries are particularly encouraged.
Comparative analyses that highlight trends across countries, sectors, or specific occupational groups are also of interest. Authors should aim to contribute to the broader discourse on how AI can be ethically and effectively integrated into social engineering efforts to ensure equitable and sustainable societal advancement.
The integration of AI in social engineering represents a paradigm shift, offering innovative solutions to age-old problems but also introducing complex questions about privacy, equity, and the very fabric of human interaction. In business, AI is reshaping organizational structures and market dynamics, influencing everything from operational efficiency to customer engagement strategies. In medicine, it promises to revolutionize patient care through precision diagnostics and personalized treatment plans, yet it raises critical issues around data security and the potential for algorithmic bias. In industry, AI's potential to enhance productivity and sustainability is weighed against its impact on employment and the workforce.
This Research Topic seeks to explore the multifaceted role of AI in social engineering across these three pivotal sectors. It aims to provide an in-depth analysis of how AI technologies are being developed and applied to drive societal change, enhance human well-being, and address complex challenges.
Contributions are invited to cover a broad range of topics, including but not limited to:
- AI in Business Social Engineering: Explores how AI is transforming customer relations, marketing strategies, organizational behavior, and other aspects within the business sector. Further, the contributions can highlight how AI-driven social engineering strategies are transforming urban and societal dynamics, including smart cities, urban planning, community engagement, infrastructure management, and public services
- AI and Social Engineering in Industry: Delves into AI applications in manufacturing processes, worker safety, ethical automation, sustainable farming practices, rural community engagement and industry 4.0
- AI and Social Engineering in Medicine: Examines the application of AI in the healthcare domain, taking into account patient advantages, the streamlining of diagnosis and treatment planning through machine learning algorithms for analyzing intricate medical data, and the improvement of clinical decision-making processes. This exploration also addresses ethical concerns and challenges associated with patient data management
- Ethical and Policy Considerations of AI in Business, Industry, and Medicine: Addresses the ethical, legal, and policy implications of AI-driven social engineering across sectors
- AI, Privacy, and Data Security in Business, Industry, and Medicine: Investigates the challenges related to privacy and data security in the implementation of AI across these sectors
- AI and Human Behavior in Business, Industry, and Medicine: Examines the impact of AI on human behavior, decision-making, and social norms within the above mentioned key sectors
Original research papers that provide new insights into the development and application of AI-Driven Social Engineering in these sectors are welcome. Submissions may include empirical studies, theoretical analyses, policy evaluations, or case studies. Papers that offer innovative policy solutions or address the societal implications of AI in emerging and developing countries are particularly encouraged.
Comparative analyses that highlight trends across countries, sectors, or specific occupational groups are also of interest. Authors should aim to contribute to the broader discourse on how AI can be ethically and effectively integrated into social engineering efforts to ensure equitable and sustainable societal advancement.
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.
