CFP AMCIS 2025: Behavioral Cybersecurity and Generative AI Minitrack

[Torres, Carlos]

Submissions Deadline Approaching (Feb 28th. 5 p.m.)
Call for Papers: Behavioral Cybersecurity in the Generative AI Era Minitrack.
Dear Colleagues, we invite you to submit your original research to our minitrack on Behavioral Cybersecurity in the Generative AI Era at AMCIS 2025. The unprecedented growth of generative AI-especially large language models (LLMs)-is revolutionizing how organizations and individuals perceive, create, and share digital content. While these technologies open up new frontiers of innovation, they also present a complex array of behavioral cybersecurity challenges that demand our immediate attention.
Track: Cybersecurity Privacy & Ethics (SIG SEC)
Minitrack: Behavioral Cybersecurity in the Generative AI Era.
The rapid advancement of generative AI and LLMs has revolutionized various domains, including cybersecurity. Understanding the cognitive implications of these technologies on human behavior is essential for developing effective cybersecurity strategies. Generative AI and LLMs influence how individuals perceive and interact with digital content. This raises significant questions about trust, decision-making, and vulnerability to manipulation. By studying these cognitive aspects, we can better understand how to protect users from emerging threats and design systems that enhance security awareness and resilience.
Why this minitrack?

  *   Evolving Threat Landscape: As generative AI advances, it reshapes the methods and tools of cyber attackers, amplifying risks such as sophisticated phishing, deepfakes, and misinformation.
  *   Human Factor Complexity: Users' trust and decision-making processes are influenced by AI-generated content in ways we have yet to fully understand. Studying these cognitive impacts is critical to developing robust cybersecurity strategies.
  *   Ethical and Organizational Implications: Cybersecurity and privacy professionals must contend with ethical dilemmas, organizational risks, and policy concerns arising from AI-driven attacks and defenses, requiring fresh scholarly perspectives.
This mini-track seeks to help academics and practitioners further explore the challenges faced by information security and privacy professionals in organizations, welcoming research addressing behavioral cybersecurity issues in AI.
We welcome theoretical, empirical, and practice-oriented submissions that address (but are not limited to) the following areas:

  *   Cognitive impacts of generative AI and LLMs on cybersecurity
  *   Behavioral analysis in the context of AI-generated content
  *   Human factors in cybersecurity and AI
  *   AI and machine learning for threat detection and response
  *   Anomaly detection using AI
  *   Cybersecurity awareness and training in the age of AI
  *   Ethical implications of AI in cybersecurity
  *   Case studies and practical applications
SUBMISSION TYPES

    * Full papers must not exceed ten pages.
    * Emergent Research Forum (ERF) papers must not exceed five pages.

All submissions must conform to the AMCIS 2025 submission template and will be peer-reviewed using a double-blind system. More details can be found at: https://amcis2025.aisconferences.org/submissions/types-of-submissions/

IMPORTANT DATES

January 13, 2025: Manuscript submissions begin
February 28, 2025: Submissions are due at 5 pm EST

Join us in shaping the next wave of insights and strategies at the intersection of human behavior, cybersecurity, and generative AI. By sharing your work in this minitrack, you will contribute to a deeper understanding of how emerging AI tools are shaping-and being shaped by-our cybersecurity practices.

We look forward to your innovative submissions and to engaging discussions at AMCIS 2025!

MINI-TRACK CHAIRS

Carlos Torres
carlos_torres at baylor.edu<mailto:carlos_torres at baylor.edu>

Mahesh Boodraj
mboodraj at boisestate.edu<mailto:mboodraj at boisestate.edu>

May Bantan
mbantan at kennesaw.edu<mailto:mbantan at kennesaw.edu>


Best regards,

Carlos I. Torres, Ph.D.
Assistant Professor, ISBA
Hankamer School of Business
Baylor University

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