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

Abstract Most ethical guidelines on AI tout algorithmic transparency, the openness of an algorithm’s inner workings to human scrutiny, as an important desideratum in algorithmic deployment. Algorithmic transparency has been touted as important for valuable goals like procedural fairness, AI trustworthiness, contestability and planning around AI decision-making. This paper argues that these goals are better served by a distinct desideratum, algorithmic justifiability, the ability of an algorithm to provide understanding about why the algorithm’s decision is correct.

Authors

Institutions

Publication Details

Journal
Ethics and Information Technology
Published
2026-03-23
DOI
https://doi.org/10.1007/s10676-026-09892-3
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Anantharaman Muralidharan, Julian Savulescu
Ethics and Information Technology
Ethics and Social Impacts of AI
article

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

Anantharaman Muralidharan, Julian Savulescu
article en

Abstract

Abstract Most ethical guidelines on AI tout algorithmic transparency, the openness of an algorithm’s inner workings to human scrutiny, as an important desideratum in algorithmic deployment. Algorithmic transparency has been touted as important for valuable goals like procedural fairness, AI trustworthiness, contestability and planning around AI decision-making. This paper argues that these goals are better served by a distinct desideratum, algorithmic justifiability, the ability of an algorithm to provide understanding about why the algorithm’s decision is correct.

Ethics and Information TechnologyVol. 28(2)
National University of Singapore (SG), University of Oxford (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.