About the Journal:

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Algorithmic Society: The Journal of AI Ethics, Governance, and Societal Risk is a multidisciplinary academic publication dedicated to examining the profound ethical, governance, and societal challenges posed by artificial intelligence and algorithmic systems. Our mission is to bridge scholarship across technology ethics, risk management, policy studies, and social science to address the responsible development and deployment of AI in ways that serve human flourishing and democratic values.

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Algorithmic Society publishes rigorously peer-reviewed articles, policy analyses, and theoretical frameworks that showcase:​

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• Original research examining the ethical implications of AI systems across domains—from algorithmic authority and autonomy to fairness, accountability, transparency, and human rights

• Empirical and theoretical investigations into AI risk management, safety protocols, and governance frameworks at organizational, national, and international levels

• Cross-disciplinary scholarship exploring how algorithmic systems reshape power relations, social structures, institutional practices, and individual agency

• Evidence-based frameworks for responsible AI innovation, ethical design principles, and policy interventions that balance technological advancement with societal protection

 

We prioritize work that critically examines the societal implications of AI while offering constructive pathways toward responsible innovation. Our aim is to provide a publishing space that advances both critical analysis and actionable governance solutions for technologists, policymakers, organizational leaders, and civil society.

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Through collaborative, interdisciplinary inquiry, Algorithmic Society amplifies scholarship that informs the development of AI systems that respect human dignity, promote equity, and enhance democratic participation. We welcome submissions from researchers, policymakers, practitioners, and advocates across computer science, philosophy, law, public policy, sociology, organizational studies, and related fields.

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Algorithmic Society aims to advance responsible AI development through the global exchange of empirically grounded, ethically informed knowledge. Conceptual articles, empirical research, policy analyses, case studies, risk assessments, and practitioner-oriented frameworks exploring AI ethics, governance, and societal impact are welcomed.

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The journal provides a forum for the rapid dissemination of rigorously peer-reviewed research, evaluations, policy recommendations, and commentary on contemporary issues relating to algorithmic fairness, AI safety, technological governance, and the transformation of social institutions in an increasingly AI-mediated world.

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By centering ethical considerations and societal impact, Algorithmic Society amplifies scholarship and strategies that guide AI development toward outcomes that enhance rather than undermine human flourishing, social justice, and democratic values.

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Editorial Team​​​​