Submissions

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Submission Preparation Checklist

All submissions must meet the following requirements.

  • The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
  • The submission file is in OpenOffice, Microsoft Word, or RTF document file format.
  • Where available, URLs for the references have been provided.
  • The text is single-spaced; uses a 12-point font; employs italics, rather than underlining (except with URL addresses); and all illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end.
  • The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.

Social Impact Papers

Social Impact Papers

GRACE welcomes social impact papers describing ethical issues with any aspect of Artificial Intelligence and Machine Learning. A paper should include a convincing motivational discussion and argument, articulate the relevance of the argument to AI/ML, describe the scientific and social impact of the work, include all relevant proofs and/or experimental data, and provide a thorough discussion of connections with the existing literature. 

GRACE caters to a broad readership. Papers that are heavily mathematical in content are welcome but should include a less technical high-level motivation and introduction that is accessible to a wide audience and explanatory commentary throughout the paper. 

Book Reviews

Reviews

GRACE invites students to review important existing and emerging research areas, reviews of topical and timely books related to AI, and substantial, but perhaps controversial position papers that articulate ethical  issues of interest in the AI research community.

Research and Technology Reviews

The Research and Technology Reviews section features critical and comprehensive analyses of current developments in research methods, tools, and emerging technologies. These articles aim to synthesize key debates, evaluate methodological innovations, and explore the broader implications of technological change across disciplines. Authors are encouraged to highlight trends, identify knowledge gaps, and offer forward-looking insights that inform both academic inquiry and practical application. Submissions should not merely summarize existing literature or tools, but engage deeply with their significance, limitations, and potential for future research or societal impact.

Interviews

GRACE editors interview scholars around the globe on their approach to AI in their fields

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