Road sign with the word "trust"
Bias

Toward AI We Can Count On

A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.
1 min read
Women in AI in academia and industry chart
Bias

AI’s Gender Imbalance

Women continue to be severely underrepresented in AI. A meta-analysis of research conducted by Synced Review for Women’s History Month found that female participation in various aspects of AI typically hovers between 10 and 20 percent.
2 min read
Text "You only live once. #YOLO" written over an orange background
Bias

Code No Evil

A prominent AI researcher has turned his back on computer vision over ethical issues. The co-creator of the popular object-recognition network You Only Look Once (YOLO) said he no longer works on computer vision because the technology has “almost no upside and enormous downside risk.”
1 min read
Heart shape made with two hands
Bias

That Swipe-Right Look

In an online dating profile, the photo that highlights your physical beauty may not be the one that makes you look smart or honest — also important traits in a significant other. A new neural network helps pick the most appealing shots.
2 min read
Person on an online job interview
Bias

Limits on AI Job Interviews

As employers turn to AI to evaluate job applicants, a U.S. state imposed limits on how such tools can be used. The Illinois legislature passed the AI Video Act, which gives candidates a measure of control over how hiring managers collect and store video interviews.
1 min read
Excerpt of a video showing how HireVue works
Bias

HR’s Robot Helper

For some college graduates, landing a first job means making a good impression on a chatbot. University guidance counselors around the U.S. are preparing students for interviews with AI-powered screening algorithms.
1 min read
ImageNet face recognition labels on a picture
Bias

ImageNet Gets a Makeover

Computer scientists are struggling to purge bias from one of AI’s most important datasets. ImageNet’s 14 million photos are a go-to collection for training computer-vision systems, yet their descriptive labels have been rife with derogatory and stereotyped attitudes toward race, gender, and sex.
2 min read
Zhi-Hua Zhou
Bias

Zhi-Hua Zhou: Fresh Methods, Clear Guidelines

I have three hopes for 2020.
1 min read
Oren Etzioni
Bias

Oren Etzioni: Tools For Equality

In 2020, I hope the AI community will grapple with issues of fairness in ways that tangibly and directly benefit disadvantaged populations.
1 min read
Information related to Bias-Resilient Neural Network (BR-Net)
Bias

Bias Fighter

Sophisticated models trained on biased data can learn discriminatory patterns, which leads to skewed decisions. A new solution aims to prevent neural networks from making decisions based on common biases.
2 min read
Information related to Explainable AI (xAI)
Bias

Google's AI Explains Itself

Google's AI platform offers a view into the mind of its machines. Explainable AI (xAI) tools show which features exerted the most influence on a model’s decision, so users can evaluate model performance and potentially mitigate biased results.
2 min read
Graph related to LIME and SHAP methods
Bias

Bias Goes Undercover

As black-box algorithms like neural networks find their way into high-stakes fields such as transportation, healthcare, and finance, researchers have developed techniques to help explain models’ decisions. New findings show that some of these methods can be fooled.
2 min read
Leaf stuck on a chain link fence
Bias

Researchers Blocked at the Border

Foreign researchers hoping to attend one of AI’s largest conferences were denied entry into Canada, where the event will be held. Most of those blocked were from developing nations.
2 min read
Illustration of two black cats labeled as cats, one white cat labeled as banana
Bias

Biased Data Trains Oppressive AI

Will biases in training data unwittingly turn AI into a tool for persecution? Bias encoded in software used by nominally objective institutions like, say, the justice or education systems will become impossible to root out.
2 min read
 Proportion of examples covered by number of annotators (sorted by number of annotations)
Bias

AI Knows Who Labeled the Data

The latest language models are great at answering questions about a given text passage. However, these models are also powerful enough to recognize an individual writer’s style, which can clue them in to the right answers. New research measures such annotator bias in several data sets.
2 min read

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