This is the fourth in a series of posts about the effects of bias on ML algorithms. In the previous post we discussed what happens when you train an algorithm with data that isn’t representative of the universe the algorithm will operate in. This week’s focus in on the effects of human prejudice on machine learning.Read more
This is the third in a series of posts on the types of bias that can affect AI systems. In the previous post we talked about bias in the algorithms themselves. With this post the series pivots to bias in the AI system’s training data.Read more
We were excited to announce this morning that we've significantly enhanced the Alegion Training Data Platform. The new capabilities delivered with this release target the quality and efficiency requirements of large-scale machine learning initiatives.
You can read the press release below, and if you want to learn more about the Alegion Training Data Platform our website has a dedicated page here.
Alegion Announces Next-Generation Training Data Platform for Enterprise Artificial Intelligence (AI) InitiativesRead more
Machine learning (ML) enables computers to “discover patterns and relationships in data instead of being manually programmed.” This science to date is already impacting the way we live, “driving everything from Netflix recommendations to autonomous cars.” However, the more experiences that are built with ML, the more obvious it becomes that UXers are still in a learning phase when it comes to controlling the technology.Read more
Rarely late to the party, venture capital firms are using machine learning and artificial intelligence to sift through potential investments, and the results are impressive.Read more