Journal of AI Ethics and Autonomous Systems ISSN: 3107-8095 (Online)

The Journal of AI Ethics and Autonomous Systems is a bi-annual peer-reviewed journal that presents papers on the ethical, societal, and technological implications of artificial intelligence and autonomous systems. The journal seeks to bridge the gap between technology and ethics, providing a holistic view on the development, deployment, and impact of AI and autonomous systems across various domains.

Some of the topics covered under this journal (but not limited to them) are:

• AI Bias and Fairness
• Ethical Frameworks and Guidelines
• Autonomous Systems Design and Implementation
• Privacy and Data Protection
• AI in Decision-Making
• Regulation and Policy
• Social and Economic Impacts
• Human-AI Interaction
• AI in Critical Sectors
• Philosophical Perspectives
• Emerging Technologies

 Aim

To provide a bi-annual, peer-reviewed platform that explores the ethical, societal, and technological dimensions of artificial intelligence and autonomous systems. The journal seeks to bridge the gap between technology and ethics, fostering a comprehensive view of how these systems are developed, deployed, and impact society.

Focus

The journal emphasizes interdisciplinary research that balances technical innovation with ethical considerations. It highlights the interrelations among policy, societal values, system design, and emerging technologies—all within the realm of AI and autonomous systems.

Scope (Key Topics Covered)

Contributions are welcomed on, but not limited to, the following areas:

• AI Ethics & Governance: AI bias, fairness, ethical frameworks, regulation, and policy-making. 

• Design & Implementation: Autonomous systems design, implementation challenges, trust, and safety. 

• Privacy & Data Protection: Safeguarding personal data, transparent handling, and consent in autonomous systems. 

• Human-AI Interaction: How AI systems interact with users and human-centered design principles. 

• Societal & Economic Impacts: Effects of AI and autonomy on labor, inequality, public welfare.

• Critical Sectors: Use and implications of AI in sectors like healthcare, transportation, defense, and infrastructure.

• Philosophical & Theoretical Perspectives: Ethical theory, accountability, responsibility in autonomous decision-making. 

• Emerging Technologies: New developments such as ethical robotics, transparency, and novel AI architectures.