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Tag: bias

AI Bias a Real Concern in Business, Survey Says

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by Dat Read more…

USF Launches Data Ethics Center

Ethical AI remains a high priority as developers pause to consider the implications of the automation tools they are creating. A more granular approach is being taken by the University of San Francisco’s Data Institute Read more…

Only Intelligent Data Can Power Artificial Intelligence

Our rapidly growing mastery of artificial intelligence has the potential to address society’s thorniest problems. But time and again, AI-powered projects have failed the test of fairness as algorithms have amplified th Read more…

Do Amazon’s Biased Algorithms Spell the End of AI in Hiring?

Amazon recently cancelled an AI-driven recruiting program after it was discovered that it led to bias in hiring recommendations. But does that mean that machine learning has no role in human resources? The data, as you m Read more…

Three Ways Biased Data Can Ruin Your ML Models

Machine learning provides a powerful way to automate decision making, but the algorithms don't always get it right. When things go wrong, it's often the machine learning model that gets the blame. But more often than not Read more…

Who Controls Our Algorithmic Future?

The accelerating pace of digitization is bringing real, tangible benefits to our society and economy, which we cover daily in the pages on this site. But increased reliance on machine learning algorithms brings its own u Read more…

Trump Victory: How Did the National Polls Get It So Wrong?

As Donald Trump celebrates his stunning victory in last night's presidential election, professional pollsters are waking up and asking themselves: How did we get it so wrong? Nearly all the national polls showed Hilla Read more…

Don’t Be a Big Data Snooper

One of the biggest challenges that data scientists face is separating true predictors from false ones. When an airtight causal model can't be created, data scientists often look to a secondary class of models based on co Read more…

Dangers in Data Definition – How Data Quality Can Save Lives

Thought leaders from Silicon Valley to Washington to DC are rightly excited by the prospect of a future in which data science, statistics, and analytics play a larger role in the the shaping of public policy and discours Read more…

The Role of Bias In Big Data: A Slippery Slope

When most people hear the word “bias” they think of gender or racial discrimination or other situations where preconceptions lead to bad decisions. These kinds of biases and bad decisions are common. Tests have sh Read more…

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