From 19a6cb20ec1b9e9523d50b91066e834d53887229 Mon Sep 17 00:00:00 2001
From: za4g <138465437+za4g@users.noreply.github.com>
Date: Fri, 17 Jan 2025 18:33:57 -0700
Subject: [PATCH] fix: resource content title typo

Typo - Spelling of Fairness
---
 ...n1Xc3ooYz_.md => bias-and-fairness@lhIU0ulpvDAn1Xc3ooYz_.md} | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
 rename src/data/roadmaps/ai-engineer/content/{bias-and-fareness@lhIU0ulpvDAn1Xc3ooYz_.md => bias-and-fairness@lhIU0ulpvDAn1Xc3ooYz_.md} (98%)

diff --git a/src/data/roadmaps/ai-engineer/content/bias-and-fareness@lhIU0ulpvDAn1Xc3ooYz_.md b/src/data/roadmaps/ai-engineer/content/bias-and-fairness@lhIU0ulpvDAn1Xc3ooYz_.md
similarity index 98%
rename from src/data/roadmaps/ai-engineer/content/bias-and-fareness@lhIU0ulpvDAn1Xc3ooYz_.md
rename to src/data/roadmaps/ai-engineer/content/bias-and-fairness@lhIU0ulpvDAn1Xc3ooYz_.md
index 6f0a4cc46..5c052141d 100644
--- a/src/data/roadmaps/ai-engineer/content/bias-and-fareness@lhIU0ulpvDAn1Xc3ooYz_.md
+++ b/src/data/roadmaps/ai-engineer/content/bias-and-fairness@lhIU0ulpvDAn1Xc3ooYz_.md
@@ -1,4 +1,4 @@
-# Bias and Faireness
+# Bias and Fairness
 
 Bias and fairness in AI refer to the challenges of ensuring that machine learning models do not produce discriminatory or skewed outcomes. Bias can arise from imbalanced training data, flawed assumptions, or biased algorithms, leading to unfair treatment of certain groups based on race, gender, or other factors. Fairness aims to address these issues by developing techniques to detect, mitigate, and prevent biases in AI systems. Ensuring fairness involves improving data diversity, applying fairness constraints during model training, and continuously monitoring models in production to avoid unintended consequences, promoting ethical and equitable AI use.