Current explainability techniques were only able to produce “broad descriptions of how the AI system works in a general sense” but when asked to justify how individual decisions were made, the explanations were “unreliable and superficial.” In the recent past, it is no secret that AI, especially cutting-edge deep learning

Ecommerce recommender systems are machine-learning algorithms that suggest products to a specific consumer or groups of consumers. The algorithms use historical data — purchases, search history, reviews — to identify an item a shopper would likely buy. Recommender systems enable Netflix to suggest movies and Amazon to offer related products.

The thriving technological advancements have driven the Fourth Industrial Revolution nowadays. Indeed, the rapid growth of big data, quantum computing, and the Internet of things (IoT) has been reshaping all human activities – it creates a new business model, removes geographical boundaries, and revamps the decision-making process not only on

AI is rapidly changing the field of education. The advances in the data storage system and advancements made in Artificial Intelligence (AI) in the last decade have allowed organizations to store huge amounts of data and utilize that data to produce prescriptive insights. The educational sector has also witnessed positive

When I began learning about artificial intelligence (AI) and machine learning (ML), it was from the perspective of trying to help very smart people do challenging tasks. This is opposed to learning about an AI algorithm and trying to see how far I could push it for the sake of