Posts in tag

Bias


Today, leading companies committed to improving fairness in marketing campaigns. The initiative, announced at the Cannes Lions International Festival of Creativity 2022, brought together agencies, brands, and other leaders to generate awareness and take action towards mitigating bias in advertising technology. Committing organizations include IBM (NYSE: IBM), Delta Air Lines, WPP, Mindshare, 4A’s, IAB and the Ad Council. The action …

Wikipedia, which is consistently ranked one of the top 10 most visited websites, is often the first stop for many people looking for information about historical figures and changemakers. But not everyone is equally represented on Wikipedia. Only about 20 percent of biographies on the English site are about women, according to the Wikimedia Foundation, and we …

Artificial intelligence systems may be able to complete tasks quickly, but that doesn’t mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice. For instance, if a dataset contains mostly images of …

In this talk, Aparna Dhinakaran, Co-Founder and CPO of Arize AI, covered the challenges organizations face in checking for model fairness, such as the lack of access to protected class information to check for bias and diffuse organizational responsibility of ensuring model fairness. Aparna also dived into the approaches organizations can take to start addressing ML fairness …

From recruitment to credit risk apps, or use in the healthcare and criminal justice system, AI unreliability has been giving researchers headaches for years. We’ve tackled the issue by flipping it upside down. Our team has developed an AI that verifies other AIs’ “fairness” by generating a set of counterfactual text samples and testing machine …

No one can argue with statistics because they are hard facts. — are they really?  By this time, a lot of us have done a great job realising that not everything we see on the internet is true. Some of the information we receive is deliberately manipulated in order to influence our behavior or our …

Word embeddings—an algorithmic technique that can map relationships and associations between words—can measure changes in gender and ethnic stereotypes over the past century in the United States. Researchers analyzed large databases of American books, newspapers, and other texts and looked at how those linguistic changes correlated with actual US Census demographic data and major social …

Now that humans have programmed computers to learn, we want to know exactly what they’ve learned and how they make decisions after their learning process is complete. The answers to such questions could shed light on our own decision-making processes. Kate Saenko, an associate professor of computer science at Boston University, asked humans to look …

What’s the problem? As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined …

Right now, artificial intelligence (AI) and countless algorithms are integrated into our daily life. Because of the efficiency they bring into the table, the use of AI is only expected to widen. With humanity becoming more and more reliant on this technology, it is only natural to think about the implications. In contrast to the common …