International Journal of Human–Computer Interaction

Human-Machine Conflict: Theory and its Resolution

Introduction

The rapid evolution of artificial intelligence (AI) and machine learning technologies has significantly amplified and complicated the interactions between humans and machines, spanning across various sectors and infiltrating everyday life. This complex interplay, while offering substantial benefits, has also introduced a range of new conflicts and challenges. Notable instances of human-machine conflicts resulting in tragic outcomes, such as the Boeing 737 Max disasters (2018-2019) and the Uber Autonomous Vehicle fatality in 2018, have garnered significant attention from both industry and academia. These incidents highlight the critical need for thorough research into resolving human-machine conflicts, with the goal of preventing future tragedies and improving the safety and reliability of AI-driven technologies.

Scope

This special issue is dedicated to exploring the theoretical underpinnings and practical challenges of human-machine conflicts. It seeks to cover a wide array of relevant topics, including but not limited to:

• Theoretical Frameworks: delving into the theoretical constructs that help us comprehend the dynamics of human-machine conflicts.
• Ethical Dimensions: examining the ethical and moral dilemmas arising from human-machine interactions.
• Technological Interventions: investigating technological strategies and solutions designed to reduce or mitigate human-machine conflicts.
• Societal Impacts: assessing the broader societal consequences of the increasing integration of humans and machines.
• Case Studies: presenting in-depth analyses of specific human-machine conflicts and their resolutions.
• Human-AI Dynamics: exploring the collaborative and competitive aspects of human-AI interactions.
• Trust and Transparency: addressing the importance of trust and transparency in human-machine engagements.
• Bias and Fairness: tackling issues of bias and fairness within AI systems to ensure equitable outcomes.
• Privacy Issues: discussing the privacy concerns associated with human-machine interactions.
• Regulation: exploring the regulatory frameworks that govern AI and robotics to ensure safety and ethical standards.
• Psychological Effects: considering the psychological impacts of human-machine conflicts.
• Education and Training: focusing on the necessary education and training for the effective coexistence of humans and machines.

This issue aims to provide a comprehensive view of the multifaceted nature of human-machine conflicts, offering insights for academics, practitioners, and policymakers alike.

Important Dates

Manuscript submission deadline: September 30, 2025

First round of reviews completed: December 31, 2025

Revised manuscripts due: April 30, 2026

Final decisions: August 31, 2026

Expected publication date: 2027