Recent algorithms in artificial intelligence (AI) are often referred to as “black box” models, meaning their inputs and operations are not visible to the user or any other party, making their decisions difficult to interpret. eXplainable AI (XAI) is a class of methods that seeks to address the lack of AI interpretability and trust by explaining AI decisions to customers.Recent algorithms in artificial intelligence (AI) are often referred to as “black box” models, meaning their inputs and operations are not visible to the user or any other party, making their decisions difficult to interpret. eXplainable AI (XAI) is a class of methods that seeks to address the lack of AI interpretability and trust by explaining AI decisions to customers.Business[#item_full_content]

Ever get your McDonald’s order mixed up at an AI-powered drive-thru? The experiment behind the fast food giant’s current automated order taker will soon be coming to a close.Ever get your McDonald’s order mixed up at an AI-powered drive-thru? The experiment behind the fast food giant’s current automated order taker will soon be coming to a close.Business[#item_full_content]

Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner?Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner?Computer Sciences[#item_full_content]