Transparency in AI: Rainbird CEO on what developers need to know - CW Developer Network

As a result, transparency has become a technical issue that companies are grappling with during development. So, what do developers need to consider when it comes to building transparency into AI systems? The biggest issues regarding transparency tend to arise through implementation of statistical methods of data analysis or machine learning. Machine Learning is a powerful technique in the developer's toolkit, allowing algorithms to be designed that learn the solutions to problems from data, rather than being explicitly programmed. Unfortunately, most Machine Learning techniques are black box by nature. Take Convolutional Neural Networks (CNN), for example: this popular deep learning technique – often used for image classification tasks – relies on a large network of weighted nodes.