Call for Papers
AI and Wisdom invites original, interdisciplinary scholarship examining the ethical, philosophical, social, institutional, and human dimensions of artificial intelligence.
We welcome rigorous work that connects contemporary AI with ethical reasoning, wisdom traditions, governance, education, and human flourishing.
Why AI and Wisdom
AI and Wisdom is a peer reviewed, open access journal supporting interdisciplinary scholarship at the intersection of artificial intelligence, ethics, wisdom traditions, institutions, education, and human flourishing.
Topics of Interest
AI Ethics and Responsible Innovation
We welcome scholarship on ethical frameworks for AI design and deployment, including value alignment, fairness, transparency, accountability, privacy, safety, bias mitigation, explainability, and the responsible governance of intelligent systems in real world social and institutional contexts.
AI Governance and Institutional Responsibility
Relevant topics include AI policy, regulation, law, public governance, organizational responsibility, institutional design, public trust, justice, power, and the broader societal consequences of artificial intelligence across communities, cultures, and political settings.
Human AI Collaboration and Decision Making
We invite research on collaboration between people and intelligent systems, including shared decision making, human judgment and oversight, trust calibration, agency, accountability, and the cognitive and social dimensions of working alongside AI.
AI, Images, Video and Visual Media
We welcome research examining the creation, interpretation, circulation, and governance of AI generated and AI mediated visual content. Relevant topics include generative images and video, multimodal AI, synthetic media, deepfakes, visual authenticity, representation, authorship, copyright, creative practice, computer vision, visual communication, and the ethical implications of increasingly automated image and video production.
AI, Society and Social Life
We invite scholarship examining how artificial intelligence is reshaping everyday life, communities, identities, relationships, communication, culture, work, and social interaction. Relevant research may address social trust, inequality, inclusion, digital communities, platform society, human AI relationships, cultural change, public attitudes toward AI, social consequences of automation, and the broader transformation of contemporary social life.
Generative AI in Education and Research
We welcome contributions on generative AI in learning, teaching, and research, including human AI collaboration, capability development, creativity, wellbeing, lifelong learning, and the ways intelligent technologies may shape human growth, agency, and flourishing in educational, research, and professional environments.
Cultural Perspectives on AI Ethics and Governance
We welcome interdisciplinary research examining how different philosophical, cultural, and intellectual traditions understand artificial intelligence, ethics, and governance. Topics may include comparative approaches to responsibility, dignity, justice, relationships, wisdom, human flourishing, and the cultural foundations of technological governance.
Trust, Transparency and Explainability in AI
We invite research examining how trust in artificial intelligence is established, justified, and maintained. Relevant topics include explainability, transparency, uncertainty, verification, reliability, confidence calibration, institutional trust, trustworthy AI, and the relationship between technical performance and human judgment.
Article Types
Research Articles, Review Articles, Conceptual or Theoretical Articles, Perspectives, and Editorials.
Peer Review
Single anonymous peer review.
Submissions undergo editorial assessment and, where appropriate, external peer review.
Submission Format
Manuscripts should follow APA 7th Edition and the journal's submission guidelines.
Open Access
Submission Fee: None.
Article Processing Charge (APC): None.
Ready to Submit?
Share your research and help shape thoughtful, accountable work at the intersection of AI and the human good.
Submit a Manuscript