Ethics and Governance of Artificial Intelligence (AI) Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 8
Special Issue Editor
Interests: AI governance and governance; strategic resilience and sustainability planning; adaptive leadership; disaster resilience and emergency management; hybrid intelligence applications; organizational sustainability; regional cooperation frameworks; public sector innovation; governance models for emerging technologies
Special Issue Information
Dear Colleagues,
Artificial intelligence systems are rapidly transforming operations across public and private sectors, fundamentally altering decision-making, resource allocation, and service delivery. As AI becomes embedded in critical infrastructure, financial systems, emergency response, and strategic planning, robust ethical frameworks and effective governance mechanisms are urgently needed.
This Special Issue explores comprehensive ethical and governance challenges in AI implementation, examining how organizations develop frameworks to ensure AI systems operate responsibly, transparently, and effectively. We seek contributions addressing algorithmic accountability, data security, system reliability, and the balance between automation and human oversight. Research areas include ethical frameworks for AI deployment, governance models and regulatory approaches, transparency in machine learning systems, cybersecurity considerations, risk assessment frameworks, and best practices for the responsible implementation of AI.
We invite scholars to submit original research articles, case studies, and reviews that advance understanding of how ethical principles can be operationalized in AI systems. This research aims to provide practical guidance to organizations navigating AI deployment challenges while maintaining public trust and regulatory compliance, ultimately promoting responsible innovation that benefits both organizations and the public.
In this Special Issue, original research articles, case studies, and reviews are welcome. Research areas may include (but are not limited to) the following topics:
- Ethical frameworks for AI system design and deployment in public or private sectors;
- Algorithmic accuracy, reliability, and accountability mechanisms;
- AI governance models, regulatory approaches, and policy frameworks;
- Case studies of ethical and governance challenges in AI implementation;
- Data security, privacy protection, and system integrity in AI applications;
- Cybersecurity considerations for AI systems;
- Transparency and explainability in machine learning systems;
- Human-AI interaction, governance structures, and operational considerations;
- Performance standards, quality assurance, and validation methods for AI systems;
- Risk assessment and management frameworks for AI deployment;
- Organizational structures and procedures for AI oversight;
- Legal and regulatory compliance in AI operations;
- Decision-making protocols for AI-augmented systems;
- Audit and monitoring mechanisms for AI systems;
- Best practices for responsible AI implementation.
I look forward to receiving your contributions.
Dr. Haris Alibašić
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI governance
- algorithmic accountability
- ethical AI frameworks
- cybersecurity in AI systems
- transparency and explainability
- responsible AI deployment
- data security and privacy
- human-AI interaction
- regulatory compliance
- operational integrity
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