AI ethics evidence index Search
Source-linked daily record
Evidence record 11778 · automatically gathered

Logic, Optimization, and Artificial Intelligence

Logic and optimization can, in combination, make valuable contributions to rule-based AI. Logic is the obvious medium for encoding a rule base and drawing inferences from it, while optimization provides a powerful technology for computing inferences. Their combination has taken on new relevance amid a growing concern for transparency in AI. which is important for reproducibility, explainability, trustworthiness, and fairness. Rule-based AI provides a natural solution to transparency that is beco

Record details

Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Transparency
Retrieved: 20 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Transparency

Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies

arXiv cs.CY · 17 July 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies

arXiv · 16 July 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

arXiv · 16 July 2026

Shared topic: Bias & fairness · Shared topic: Transparency

"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models

arXiv cs.HC · 14 July 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Enhancing fairness and transparency in student project evaluation: A spherical fuzzy alternative prioritization and assessment system-based decision support

Technology in Society · 14 July 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Transparency, neutrality, voice, and respect: How procedural fairness considerations affect AI acceptability in algorithmic societies

Technology in Society · 14 July 2026

How to cite this record

ethics.ai (17 July 2026), “Logic, Optimization, and Artificial Intelligence,” evidence record 11778, https://ethics.ai/record/11778 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.