Will AI that discriminates based on race, gender, or economic status undermine the public’s confidence in the technology? Seduced by the promise of cost savings and data-driven decision making, organizations will deploy biased systems that end up doing real-world damage.
Synthetic datasets can inherit flaws in the real-world data they’re based on. Startups are working on solutions. Generating synthetic datasets for training machine learning systems is a booming business.
Synthetic datasets can inherit flaws in the real-world data they’re based on. Startups are working on solutions. Generating synthetic datasets for training machine learning systems is a booming business.
A typical GAN’s output doesn’t necessarily reflect the data distribution of its training set. Instead, GANs are prone to modeling the majority of the training distribution, sometimes ignoring rare attributes — say, faces that represent minority populations.
A typical GAN’s output doesn’t necessarily reflect the data distribution of its training set. Instead, GANs are prone to modeling the majority of the training distribution, sometimes ignoring rare attributes — say, faces that represent minority populations.
A neural network is helping credit card users continue to shop even when the lender’s credit-approval network goes down. Visa developed a deep learning system that analyzes individual cardholders’ behavior in real time to predict whether credit card transactions should be approved or denied.
A neural network is helping credit card users continue to shop even when the lender’s credit-approval network goes down. Visa developed a deep learning system that analyzes individual cardholders’ behavior in real time to predict whether credit card transactions should be approved or denied.
Marketers are using computer vision to parse customers by skin color and other perceived racial characteristics. A number of companies are pitching race classification as a way for businesses to understand the buying habits of different groups.
The UK government abandoned a plan to use machine learning to assess students for higher education. The UK Department of Education discarded grades generated by an algorithm designed to predict performance on the annual Advanced Level qualifications, which had been canceled due to the pandemic.
The UK government abandoned a plan to use machine learning to assess students for higher education. The UK Department of Education discarded grades generated by an algorithm designed to predict performance on the annual Advanced Level qualifications, which had been canceled due to the pandemic.
Marketers are using computer vision to parse customers by skin color and other perceived racial characteristics. A number of companies are pitching race classification as a way for businesses to understand the buying habits of different groups.
Bias arises in machine learning when we fit an overly simple function to a more complex problem. A theoretical study shows that gradient descent itself may introduce such bias and render algorithms unable to fit data properly.
A major retailer’s AI-powered surveillance program apparently targeted poor people and minorities. Rite-Aid, a U.S.-based pharmacy chain, installed face recognition systems in many of its New York and Los Angeles stores.
A major retailer’s AI-powered surveillance program apparently targeted poor people and minorities. Rite-Aid, a U.S.-based pharmacy chain, installed face recognition systems in many of its New York and Los Angeles stores.
Bias arises in machine learning when we fit an overly simple function to a more complex problem. A theoretical study shows that gradient descent itself may introduce such bias and render algorithms unable to fit data properly.
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