Aim and Scope

The Journal of Responsible AI & Ethics (JRAIE) aims to advance scholarly understanding of the ethical, legal, social, institutional, and technical dimensions of artificial intelligence. The journal provides an interdisciplinary platform for research that contributes to the responsible design, development, deployment, evaluation, oversight, and governance of AI systems.

JRAIE encourages scholarship that examines how artificial intelligence can be developed and applied in ways that promote transparency, accountability, fairness, safety, human oversight, privacy, inclusiveness, and respect for fundamental rights. The journal welcomes theoretical, empirical, methodological, legal, policy-oriented, and applied research that addresses the opportunities and risks associated with AI across public, private, academic, and societal contexts.

The journal is particularly interested in research that critically evaluates the consequences of algorithmic and automated decision-making, identifies ethical and governance challenges, develops responsible AI frameworks, and proposes evidence-based approaches for improving the reliability, explainability, accountability, and social acceptability of AI-enabled systems.

Core Areas of Scope

JRAIE considers manuscripts addressing, but not limited to, the following areas:

  • Responsible and trustworthy artificial intelligence

  • Ethics of artificial intelligence and machine learning

  • Algorithmic fairness, bias, discrimination, and inclusion

  • Transparency, accountability, and explainability in AI systems

  • Human-centered artificial intelligence and human oversight

  • AI governance, institutional accountability, and regulatory frameworks

  • Artificial intelligence law, policy, and compliance

  • Privacy, data protection, consent, and responsible data governance

  • AI safety, reliability, robustness, and risk management

  • Ethical implications of automated and algorithmic decision-making

  • Generative artificial intelligence and responsible content generation

  • Autonomous systems and ethical decision-making

  • AI auditing, impact assessment, and accountability mechanisms

  • Responsible AI in healthcare, education, finance, employment, public administration, and industry

  • Ethical use of AI in research and scholarly communication

  • AI-mediated surveillance, monitoring, profiling, and decision support

  • Social, cultural, economic, and institutional impacts of artificial intelligence

  • Digital inequality, accessibility, and inclusive AI design

  • Responsible innovation and sustainable AI development

  • Human rights and fundamental freedoms in AI-enabled environments

  • Ethical challenges associated with emerging and future AI technologies

The journal also welcomes interdisciplinary studies that connect artificial intelligence with philosophy, law, public policy, computer science, engineering, sociology, psychology, economics, management, education, healthcare, and other relevant fields, provided that the manuscript demonstrates a clear and substantive contribution to responsible AI, AI ethics, governance, accountability, or societal impact.

JRAIE prioritizes manuscripts that present a well-defined research problem, appropriate methodology, transparent analysis, meaningful scholarly contribution, and clear relevance to the journal's stated aims and scope.