Ethics of Algorithmic Decision‑Making in Publishing

Introduction

As algorithms increasingly influence editorial decisions, concerns about fairness, bias, and accountability are growing. Algorithmic decision‑making introduces new ethical questions into scholarly publishing.

This article explores these ethical challenges and how publishers and researchers can respond responsibly.

What Is Algorithmic Decision‑Making?

Algorithms are used to:

• Rank submissions
• Flag potential issues
• Support editorial triage

They influence—but should not determine—outcomes.

Ethical Risks

Key concerns include:

• Bias embedded in training data
• Lack of explainability
• Reduced accountability

Transparency and Oversight

Ethical use requires:

• Disclosure of algorithmic roles
• Regular auditing
• Human final decisions

Role of Researchers

Researchers should:

• Advocate for transparency
• Question opaque decisions

Conclusion

Algorithmic tools must be governed by strong ethical principles. Transparency and human accountability are essential to maintain trust in academic publishing.