Results for tag: "Explainable AI"

Explainable AI (XAI) is a subfield of Artificial Intelligence (AI) that focuses on making AI models more transparent and interpretable. XAI seeks to explain the decisions made by AI models, which are often opaque and difficult to understand. XAI techniques can be used to identify and explain the factors that influence a model’s decisions, as well as to detect and mitigate potential biases. XAI can also be used to improve the accuracy and reliability of AI models. XAI is becoming increasingly important as AI models are used in more and more applications, such as healthcare, finance, and autonomous vehicles. XAI can help ensure that AI models are making decisions that are fair, accurate, and reliable. Companies in the Explainable AI market include IBM, Microsoft, Google, Amazon, and Salesforce. Other companies, such as Dessa, H2O.ai, and DataRobot, are also developing XAI solutions. Show Less Read more