Toward AI We Can Count On: Public trust recommendations from AI researchers
Bias

Toward AI We Can Count On: Public trust recommendations from AI researchers

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.

April 29, 20201 min read
AI’s Gender Imbalance: The data behind deep learning's gender gap
Bias

AI’s Gender Imbalance: The data behind deep learning's gender gap

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.

March 25, 20202 min read
AI’s Gender Imbalance: The data behind deep learning's gender gap
Bias

AI’s Gender Imbalance: The data behind deep learning's gender gap

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.

March 25, 20202 min read
Code No Evil: Why YOLO's co-creator no longer works on computer vision.
Bias

Code No Evil: Why YOLO's co-creator no longer works on computer vision.

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.”

March 4, 20201 min read
Code No Evil: Why YOLO's co-creator no longer works on computer vision.
Bias

Code No Evil: Why YOLO's co-creator no longer works on computer vision.

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.”

March 4, 20201 min read
That Swipe-Right Look: Photofeeler-D3 AI chooses the best pics for dating profiles.
Bias

That Swipe-Right Look: Photofeeler-D3 AI chooses the best pics for dating profiles.

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.

February 12, 20202 min read
That Swipe-Right Look: Photofeeler-D3 AI chooses the best pics for dating profiles.
Bias

That Swipe-Right Look: Photofeeler-D3 AI chooses the best pics for dating profiles.

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.

February 12, 20202 min read
Limits on AI Job Interviews: The AI video act sets limits on alorithmic hiring.
Bias

Limits on AI Job Interviews: The AI video act sets limits on alorithmic hiring.

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.

January 29, 20201 min read
Limits on AI Job Interviews: The AI video act sets limits on algorithmic hiring.
Bias

Limits on AI Job Interviews: The AI video act sets limits on algorithmic hiring.

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.

January 29, 20201 min read
HR’s Robot Helper: Colleges prepare students for AI hiring interviews.
Bias

HR’s Robot Helper: Colleges prepare students for AI hiring interviews.

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.

January 22, 20201 min read
HR’s Robot Helper: Colleges prepare students for AI hiring interviews.
Bias

HR’s Robot Helper: Colleges prepare students for AI hiring interviews.

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.

January 22, 20201 min read
ImageNet Gets a Makeover: The effort to remove bias from ImageNet
Bias

ImageNet Gets a Makeover: The effort to remove bias from ImageNet

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.

January 8, 20202 min read
ImageNet Gets a Makeover: The effort to remove bias from ImageNet
Bias

ImageNet Gets a Makeover: The effort to remove bias from ImageNet

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.

January 8, 20202 min read
Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020
Bias

Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020

I have three hopes for 2020: Hope that advanced machine learning techniques beyond deep neural networks can emerge. Neural networks have been studied and applied by many researchers, engineers, and practitioners for a long time.

January 1, 20201 min read
Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020
Bias

Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020

I have three hopes for 2020: Hope that advanced machine learning techniques beyond deep neural networks can emerge. Neural networks have been studied and applied by many researchers, engineers, and practitioners for a long time.

January 1, 20201 min read

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