Submit a Paper

LAIEJ accepts original research via GitHub pull request. Submissions are open to everyone. There are no submission fees and no author processing charges.

How It Works

  1. 1

    Fork the LAIEJ Repository

    Start by forking the journal's public GitHub repository to your own account. All papers are maintained as HTML and PDF files within the papers/ directory.


    Fork on GitHub
  2. 2

    Write Your Paper Using the LAIEJ LaTeX Template

    Download the official template (see below) and write your paper in LaTeX. Place all files in a new folder named papers/LAIEJ-YYYY-XXX/ where YYYY is the submission year and XXX is your proposed reference number (the editor will confirm or reassign this on review). Once your .tex file is ready, run Pandoc to generate the HTML and PDF outputs:

    pandoc LAIEJ-YYYY-XXX.tex -o LAIEJ-YYYY-XXX.html \
      --standalone --css=../../styles.css
    
    pandoc LAIEJ-YYYY-XXX.tex -o LAIEJ-YYYY-XXX.pdf

    Pandoc must be installed on your system. See pandoc.org/installing.html. For PDF output, a LaTeX distribution (TeX Live or MiKTeX) is also required.

  3. 3

    Open a Pull Request

    Push your branch and open a pull request against the main branch of the LAIEJ repository. In the PR description, include your paper title, a brief summary, and confirm that you have reviewed the submission checklist below. The editorial team reviews all submissions and aims to respond within 14 days with one of: acceptance, revision request (with specific feedback), or rejection (with reasons). Accepted papers are merged immediately and go live on the journal website.

LaTeX Template

All submissions must use the official LAIEJ template. This ensures consistent formatting across the journal and correct generation of HTML and PDF via Pandoc.

\documentclass{article}
\usepackage[margin=1in]{geometry}
\usepackage{hyperref}
\usepackage{natbib}

% --- LAIEJ Metadata (required) ---
\title{Your Paper Title}
\author{Your Name \\ \small Independent Researcher / Your Institution}
\date{Month Year}

% --- Reference Code (assigned by editor, leave blank on submission) ---
% LAIEJ-YYYY-XXX

\begin{document}
\maketitle

\begin{abstract}
Your abstract here. Maximum 250 words.
\end{abstract}

\textbf{Keywords:} keyword1, keyword2, keyword3

\section{Introduction \& Research Question}

\section{Background / Literature Review}

\section{Methodology}

\section{Findings / Analysis}

\section{Discussion}

\section{Conclusion}

\bibliographystyle{apalike}
\bibliography{references}

\end{document}
Download Template (.tex)

Submission Checklist

Review all items before submitting your pull request. Submissions that do not meet these requirements will be closed.

Formatting Requirements

Paper uses the official LAIEJ LaTeX template
File is in its own folder named LAIEJ-YYYY-XXX/ containing the .tex, .html, and .pdf files
Abstract is present and under 250 words
All required sections are present: Introduction, Methodology, Findings, Discussion, Conclusion, References
References formatted in APA 7th edition

Content Requirements

A clear, specific research question is stated in the Introduction
Methodology explains how the research was conducted or the argument was constructed
All claims are supported by citations, evidence, or reasoned argument
Paper is within scope: AI ethics, LLM behaviour, AI in industry, AI security, alignment, or AI policy
No promotional, commercial, or advertorial content

Legal & Ethical Requirements

You are the sole original author of all submitted content
You agree to publish under Creative Commons CC BY 4.0
Any use of AI tools in research or writing is disclosed in the paper
Submission does not contain plagiarised content
Note: Pull Requests that do not satisfy all checklist requirements will be closed with a detailed note explaining which criteria were not met. You are welcome to address the issues and resubmit.

Scope Guide

If you are unsure whether your paper falls within the scope of LAIEJ, use this guide. When in doubt, submit — the editor will advise on scope in the review response.

In Scope

  • AI ethics & governance
  • LLM behaviour & alignment
  • AI security & adversarial robustness
  • AI in industry & applied use cases
  • Interpretability & explainability
  • AI policy & regulation
  • Bias, fairness, and representation in AI
  • Human-AI interaction and trust

Out of Scope

  • General ML without ethical or policy dimension
  • Hardware and infrastructure papers
  • Purely commercial case studies
  • Content promoting specific products
  • Computer vision or robotics (unless ethics-focused)
  • Mathematical proofs without applied context
  • Market analysis or investment research