Latest updates for Bias & Fairness
Fresh curated links around Bias & Fairness are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
Recent items include:
- Data Bias
- Defensible Decisions: When AI Generates Bias in the Workplace [Podcast]
- Detecting Bias in Generative AI
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Defensible Decisions: When AI Generates Bias in the Workplace [Podcast]
Detecting Bias in Generative AI
Generative AI inherits the biases of its training data, and most users don't notice.
Is Bias in Clinical AI Good or Bad? It’s More Complicated Than That
We do not need models that pretend every patient has equal or equitable access to care. We need models capable of recognizing disparities and responding to them. The post Is Bias i...
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...
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...
How a hiring algorithm is audited can disguise bias, study finds
Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said.
Bias in Scientific Journals
It is good that the perception of bias is now at least a bit out in the open, but what comes next? The post Bias in Scientific Journals appeared first on Watts Up With That?.
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.
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.
Stanford’s A.I. Hiring Study Exposes a Human Problem
Findem’s Tina Shah Paikeday examines new research from the Stanford Institute for Human-Centered AI showing how widely used hiring tools can reinforce bias. Paikeday argues that re...
CALIBRATION NOTE (Bias Admission): Victimizationing
When someone self-professes as a victim, my suspicion alarms sometimes start too early, set to a cautionary low-drone.Continue reading on Medium »
AI in Predictive Analytics for Employee Performance: Risk vs. Reward
Employers using artificial intelligence tools in performance management should evaluate whether the data driving those systems reflects historical bias, incomplete context, or fact...
The Right Time for Bias and Validation Testing for AI is Now
UnBias-Plus AI tool detects and rewrites bias in text
TORONTO – The Vector Institute has launched UnBias-Plus, a free, open-source AI tool built by Vector’s AI Safety research scientists that helps detect, explain, and rewrite biased...
Understanding the Bias-Variance Tradeoff: Why Your Model Is Wrong in Exactly the Right Way
The fundamental tension every machine learning model faces- explained from scratch, with math you can actually follow, code you can run…Continue reading on Bongquisitive Tech »
Candidate Experience: Perception of Fairness is inherently subjective!
It’s about what gets them there, says Kevin Grossman Follow and subscribe to the channel for more guest snippets from Brainfood Live The post Candidate Experience: Perception of Fa...
AI IN LEGAL DISCOVERY: Ethics, Fairness, and the New Inequality of Arms
How AI is tilting the balance in legal discovery … Corporate litigation has, in effect, become a software licensing contest. If you’re a CEO reading this, take some comfort – your...
Testing racial predictions with BISG
Regulators expect insurance companies, banks, and others not to discriminate by race, but businesses are not allowed to collect the race of their customers. One solution fo...
The face on an AI interviewer may matter as much as the decision it makes
Applicants reacted differently to identical AI hiring rejections depending on the avatar’s race and gender, suggesting that fairness problems can begin with interface design before...
One woman, 30 applicants: Hiring fairly under a microscope
A police chief reflects on rooting for the only woman in a command-level hiring process and the steps leaders can take to keep bias — positive or negative — from influencing the ou...
10 Biases That You Need To Avoid In Sports Betting
One of the biggest risks for sports bettors is the presence of biases that can cloud their judgment and lead them to make poor decisions. These biases can come in ... The post 10 B...
Are robot umpires less biased than humans?
When South Korea’s professional baseball league introduced "robot umpire" ball-and-strike calls in 2024, famous batters appeared to lose an edge.
What the AI Hiring Conversation Keeps Getting Wrong
The debate around AI in hiring has grown louder and, in many ways, more confused. The cautions around AI are driving most of the conversation. What is getting drowned out are some...
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