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March 25, 2026Ethics and Information TechnologyOpen Access

All you need is…. justification: algorithmic justifiability trumps transparency

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Authors

AMAnantharaman MuralidharanJSJulian Savulescu

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Overview

Argues that algorithmic justifiability improves AI's fairness and trustworthiness while addressing decision-making concerns.

Key Points

  • The central question is whether algorithmic justifiability is more beneficial than algorithmic transparency in AI ethics.
  • Discusses ethical guidelines related to AI
  • Compares algorithmic transparency and justifiability
  • Analyzes implications for fairness and trustworthiness in AI
  • Algorithmic justifiability offers a clearer understanding of decision-making processes than transparency alone.
  • It enhances procedural fairness and trustworthiness in AI systems.
  • The findings suggest prioritizing justifiability over mere transparency in ethical AI deployment.

Cite This Study

Muralidharan et al. (2026) studied this question.

synapsesocial.com/papers/69c37be2b34aaaeb1a67ebdfhttps://doi.org/10.1007/s10676-026-09892-3
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Justifiability and AI: putting explainability in its place2026 · 1 citations
  2. 2Unveiling the Black Box: Bringing Algorithmic Transparency to AI2024 · 66 citations
  3. 3AI and the need for justification (to the patient)2024 · 18 citations
  4. 4Against epistemic transparency of algorithms2026
  5. 5Transparency for AI systems: a value-based approach2024 · 30 citations