SkywardAI Labs · Fairness Intelligence Labs

Fairness Intelligence Causal Approaches to AI Bias

Developing causally grounded, interpretable debiasing methods across black-box, open-weight, and agentic large language models.

Explore Research ↓
Latest 🎉 EACL 2026 (CORE A) — Adaptive Causal Prompting for Black-Box LLM Debiasing  ·  ⭐ WWW 2026 (CORE A*) — Fairness-Aware Triggering for LLM Fairness  ·  🔬 Research in Progress: Dynamic Orchestration for Agentic AI Debiasing        Latest 🎉 EACL 2026 (CORE A) — Adaptive Causal Prompting for Black-Box LLM Debiasing  ·  ⭐ WWW 2026 (CORE A*) — Fairness-Aware Triggering for LLM Fairness  ·  🔬 Research in Progress: Dynamic Orchestration for Agentic AI Debiasing

Who we are

Responsible AI
Through Causal Reasoning

Fairness Intelligence is a research group at SkywardAI Labs dedicated to understanding and mitigating bias in large language models using causal methods. We bridge explainable AI and causal inference to build more trustworthy, accountable AI systems.

Our research spans three tiers of model access — black-box APIs, open-weight architectures, and multi-agent agentic systems — developing unified causal principles that apply across all levels of complexity.

We publish at top-tier venues (CORE A*, A, IEEE Q1) and are committed to open, transparent research that promotes safer AI deployment in high-stakes domains such as healthcare, hiring, education, and public information systems.

4
Publications (2025–2026)
CORE A*
Top venue — WWW 2026

Publications

Selected Works

When to Invoke: Refining LLM Fairness with Toxicity Assessment
WWW 2026 · Fairness-Aware Triggering
CORE A*
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
Findings of EACL 2026 · Black-Box Causal Debiasing
CORE A
Causal Prompting for Implicit Sentiment Analysis with Large Language Models
IEEE Transactions on Computational Social Systems (Q1)
IEEE Q1

Team

Group Members

Bowen Li
Bowen Li
PhD Candidate
LinkedIn ↗
Alex D'Aloia
Dr. Alex D'Aloia
Researcher
LinkedIn ↗
Jing Ren
Jing Ren
PhD Candidate
LinkedIn ↗
Patrick D. Taylor
Dr. Patrick D. Taylor
Researcher
LinkedIn ↗