InTowards AIbyMaryam Sayagh·Oct 12Can AI break the cycle?Is Diagnostical medicine mature enough for AI Automation?A response icon3A response icon3
James Friday·Sep 26The Student We Think We KnowHow the halo and horn effects quietly shape what teachers see and what students become
InTürkiye Yapay Zeka TopluluğubySevgi Nur Kara·Sep 18Algoritmaların Gizli Hükmü: Matematiksel Tarafsızlık Bir Yanılsama mı?1. Giriş: Verilerin Ardındaki İnsan Trajedisi
Oguzhan VICIL·Aug 18⚖️ We Demand More Fairness from AI Than from Humans. Why?The EU AI Act demands fairness.
César Monagas·Aug 1179 and 81 Are the Same NumberWhat happens when a Large Language Model’s opinion of your paperwork becomes a production gate?
Namita Singh·Jun 22Melanin & Majesty Fighting Colour Bias Beauty’s Two-Edge Sharp SwordWe live in 21st century even after so much evolution we have to march for “Black life matters”. Brown skin, so often romanticized in…
Kirigo Ndungu·Jun 17How Bias Seeps In Before You Code: Why Data Choices Matter More Than AlgorithmsBias in machine learning algorithms is perceived as an artefact of the algorithm itself, a strict mathematical sense of overfitting and…
InArtificial Intelligence in Plain EnglishbySudha Subramaniam·May 27Amazon Bedrock Guardrails vs SageMaker Clarify: Building Fair and Responsible AI Systems on AWS…Understand why content safety and fairness are different problems — and how AWS services like SageMaker Clarify help build trustworthy…
Dika Wilasana·May 21Bias Bukan Bug: Mengapa Ada Model yang Tidak Bisa “Diperbaiki”Bias diperlakukan seperti kesalahan teknis. Seolah cukup dengan menambah data, mengganti algoritma, atau melakukan tuning.
InMy Opinion DiariesbyTetsuji Kondo·May 10AI in Practice #1x15: The Ethical Challenges of AI — What We Should Keep in Mind Behind the…Beyond “use or don’t use”: thinking about bias, privacy, and responsibility.
