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Aims and scope

Intelligence, Mathematics and Society publishes original research, reviews, and perspectives on intelligent systems, mathematical methods, and the organizations and societies shaped by them. The journal welcomes theoretical, empirical, computational, and conceptual work, including interdisciplinary manuscripts that connect these approaches.

Contributions may address one of the journal's principal fields or a question at their intersection. A manuscript should identify a substantive problem, present an original contribution or a critical synthesis, and explain the assumptions, evidence, or reasoning on which its conclusions depend.

Principal fields

Intelligence

Learning, reasoning, cognition, and the foundations of intelligent systems.

Relevant work examines how intelligence is represented, developed, evaluated, and used, from the conceptual foundations of learning and reasoning to the behavior and limitations of contemporary artificial intelligence.

Mathematics

Formal structures, mathematical reasoning, and tools for understanding complexity.

Relevant work includes mathematical accounts of intelligent and social systems, formal models, optimization, decision methods, and analyses that clarify the properties, assumptions, or limitations of computational approaches.

Society

Social systems, institutions, ethics, and the human consequences of intelligence.

Relevant work investigates the development and use of intelligent technologies in institutions, organizations, and everyday life, including their implications for judgment, responsibility, governance, and social change.

Topics within the scope

We also welcome manuscripts on the following topics. They may be studied individually or through connections with the journal's principal fields.

  • AI governance: Institutions, policy, oversight, and approaches to directing the development and use of artificial intelligence.
  • AI ethics: Ethical analysis of AI design, deployment, and use, including fairness, autonomy, and responsibility.
  • Large language models: Capabilities, evaluation, reasoning, limitations, and the use of language models in research and practice.
  • Cognitive risk: Risks to human judgment, knowledge, attention, and decision-making arising from interactions with intelligent systems.
  • AI safety and accountability: Assessment of harmful behavior, reliability, responsibility, and mechanisms for accountable AI practice.
  • Business strategy: Strategic choices, organizational capabilities, and the economic implications of adopting intelligent technologies.
  • Organizational AI: AI in work, management, coordination, and organizational decision-making.
  • Computational governance: Computational models, tools, and infrastructures for institutional and public decision-making.
  • Optimization and decision systems: Mathematical and computational approaches to decisions under constraints, uncertainty, and competing objectives.
  • Digital transformation: Changes in organizational processes, capabilities, and practices associated with digital and intelligent technologies.
  • Computational social science: Computational investigation of social behavior, networks, institutions, and collective outcomes.
  • Philosophy of AI: Conceptual questions about intelligence, agency, explanation, knowledge, and the interpretation of artificial systems.
  • Human–computer interaction: The design, evaluation, and consequences of interactions between people and computational systems.
  • Technology and society: Social, cultural, and institutional dimensions of technological development and use.

Contributions and assessment

Original research should present a clear advance supported by appropriate methods or reasoning. Reviews should define their coverage, explain how evidence or literature is selected, and offer a critical synthesis. Perspectives should develop a well-supported position and make its assumptions and implications explicit. Interdisciplinary contributions are welcome; authors should explain terminology and connect their findings or arguments to the readers they seek to address.

For help assessing whether a manuscript fits the journal, contact the Editorial Manager at em@nooslab.cn. See the author guidelines for preparation and submission requirements.