InAI Simplified in Plain EnglishbyAyşe Kübra Kuyucu·Aug 6, 2025Scientific Writing 13 — Ethical Considerations in Data Science Research: Writing with IntegrityScientific Writing for Data Science — Part 13/18
Travis Bransgrove·Jul 9, 2025What do you mean by ‘bias’ in ML?I considered naming this article ‘Your model’s not biased.. but your data might be..’ however that might have implied models can’t amplify…
Ibukun Bakare·Jul 4, 2025What Most People Don’t Know About Data CollectionBefore the charts and code, the real story begins with the data you choose to collect
Beril Aydingor·May 5, 2025Your Data Isn’t Neutral: Insights vs Bias in Data AnalysisThey say data doesn’t lie — but that depends on who’s asking, who’s answering, and what’s being measured.
NYU Center for Data Science·Apr 2, 2025Making the Invisible Visible: New Method Reveals How Language Models Encode ConceptsA new technique makes language model biases visible by translating representation-level interventions into natural language text.
Michael Dain·Jan 14, 2025Blame the OracleWhy AI bias predicts our new job - be the one to blame when AI fails
Jason Hargrove·Feb 26, 2024Police Shootings, Studies, And The Problem With Studies…Recently there was a study made by some professor that showed there is no bias in police shootings. Every article about this claims people…
Ankit Rathi·Jan 4, 2024Understanding Biases in DataExploring Various Types of Data Biases with Examples
Inmy_aimlbySanjay Basu, PhD·Nov 12, 2023Addendum to November Newsletter #2I have received multiple inquiries about generating synthetic data to train AI models for Oracle Omics platforms. My friend Crick Waters…
