Latest updates for Algorithmic Bias Mitigation

Fresh curated links around Algorithmic bias mitigation are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Solving the “Whac-A-Mole Dilemma”: A Smarter Way to Debias AI Vision Models
  • Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
  • 10 Practical Steps Employers Should Take to Mitigate AI Bias and Manage Workplace Risk

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goodmenproject.com /1 week ago

Solving the “Whac-A-Mole Dilemma”: A Smarter Way to Debias AI Vision Models

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches. The post Solving the “Whac-A-Mole Dilemma”: A Smarter...

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news.mit.edu /1 month ago

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

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jdsupra.com /1 month ago

10 Practical Steps Employers Should Take to Mitigate AI Bias and Manage Workplace Risk

Artificial intelligence has become increasingly embedded in hiring, promotion, and employee management, which means that employers face heightened legal risks. From automated résum...

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e27.co /1 month ago

AI didn’t invent bias, it inherited it

Back in the 1980s, growing up as an ethnic minority in the United Kingdom was especially hard. Racism was still rampant, and it was well known then that if you applied for jobs and...

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inc.com /1 day ago

A Stanford Study Exposes Massive Racial Bias in AI Hiring Tools Used by 90 Percent of Businesses

Researchers warn that a growing ‘algorithmic monoculture’ is locking qualified minority candidates out of the job market.

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medicalxpress.com /1 month ago

New method advances efforts to overcome bias in AI tool for children with anxiety

Researchers at Cincinnati Children's, working with collaborators at University College London and Oak Ridge National Laboratory, have identified a practical, data-centered strategy...

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dataconomy.com /1 month ago

AI systems show systematic biases in decision-making, study finds

AI systems demonstrate predictable and systematic biases that differentiate their judgment of people from human intuition and holistic evaluation.

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theregister.com /3 days ago

AI hiring algorithms reject Black, Asian job seekers at higher rates

Stanford researchers argue need for transparency and independent testing

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kdnuggets.com /5 days ago

Auditing Model Bias with Balanced Datasets with Mimesis

Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.

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computerweekly.com /1 month ago

Department for Transport shows how its AI system avoids bias

A report looking at a system to extract themes from public consultations highlights human and LLM-based checks

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econlib.org /2 weeks ago

A Fairness Trilemma in Hiring

Economists like to draw triangles. In trade, you can’t have high tariffs, no retaliation, and unchanged prices. In monetary policy, you can’t fix interest rates, fix the money supp...

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digitaltrends.com /3 days ago

AI models have a religion favoritism problem, and new research exposes it

Researchers tested 14 major AI models on religious bias and found a consistent pattern: models subtly favor some faiths over others, with Grok showing the strongest bias and Anthro...

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marktechpost.com /3 weeks ago

A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification M...

In this tutorial, we walk through a complete, end-to-end workflow for correcting bias in survey data using the balance library. We simulate a realistic population, deliberately int...

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hitconsultant.net /1 month ago

The Role of Ethical Oversight and Algorithmic Bias in Automated Pharmacovigilance

Pharmacovigilance is changing quietly but fundamentally. You can feel it in the way adverse event reports move faster through systems, in how signals surface earlier, and in how da...

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jdsupra.com /2 weeks ago

The Algorithm Ate My Residency (And Other Stories for Employers)

Employers using AI-powered tools to screen, rank, or normalize job applicants face significant and growing litigation risk—particularly when they cannot explain how algorithmic dec...

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cryptobriefing.com /1 month ago

Carissa Véliz: Predictive technologies require enlightened decision-making, algorithmic hiring can perpetuate biases, an...

Predictive algorithms in hiring and finance risk perpetuating systemic biases and unfair decision-making. The post Carissa Véliz: Predictive technologies require enlightened decisi...

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news.mit.edu /1 month ago

Evaluating the ethics of autonomous systems

MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

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arthroplastyjournal.org /1 month ago

Underperformance of Machine Learning Models Predicting Readmission and Prolonged Length of Stay Following Total Knee Art...

While machine learning (ML) models demonstrate high predictive accuracy, recent studies reveal that ML models underperform for smaller subcohorts such as racial and ethnic minoriti...

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medium.com /2 weeks ago

AI Ethics & Bias: The Dark Side of AI Nobody Talks About

AI is making real decisions about real people. Here’s what goes wrong and why it matters more than you think.Continue reading on Medium »

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thefederalist.com /2 weeks ago

Exclusive: Virginia School District Injects DEI Into AI Tools

The school district ignores the anti-white biases of many AI tools.

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jdsupra.com /1 month ago

Employment Law Update: AI Hiring Under Fire: Algorithmic Screening Enters The Chat

A major class action lawsuit filed in January 2026 is reshaping the legal landscape around AI-powered hiring tools and algorithmic bias is not the basis of the lawsuit. In Kistler...

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dzone.com /1 month ago

The Bias-Variance Trade-Off: The Mental Model Every ML Engineer Needs

Every machine learning model fails in one of two ways. It's either too simple to learn the pattern in your data, or too complex and ends up memorizing noise instead. These two fail...

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e27.co /1 month ago

The hidden dangers of AI bias: Where it can go wrong

A 2025 study found that AI-generated summaries influenced users to make purchase decisions 84 per cent of the time, even though the summaries contained hallucinated or altered fact...

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techround.co.uk /1 month ago

It May Not Be Intentional, But AI Bias Is Real, And It’s Already Distorting Real-World Outcomes: Experts Comment

In part one of this series, we explored whether a male-dominated AI ecosystem risks widening the gender gap. The conclusion... The post It May Not Be Intentional, But AI Bias Is Re...

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feeds.dzone.com

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news.mit.edu

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computerweekly.com

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cryptobriefing.com

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dataconomy.com

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e27.co

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