The integration of Artificial Intelligence in the development of computer systems presents a new challenge: make intelligent systems explainable to humans. This is especially vital in the field of health and well-being, where transparency in decision support systems enables healthcare professionals to understand and trust automated decisions and predictions. To address this need, tools are required to guide the development of explainable AI systems. In this paper, we introduce an evaluation framework designed to support the development of explainable AI systems for health and well-being. Additionally, we present a case study that illustrates the application of the framework in practice. We believe that our framework can serve as a valuable tool not only for developing explainable AI systems in healthcare but also for any AI system that has a significant impact on individuals.

The news: Google is releasing free open-source software that will make it easier to build quantum machine-learning applications. TensorFlow Quantum is an add-on to Google's popular TensorFlow toolkit, which has helped give machine learning a big boost since its launch in 2015. TensorFlow is one of a number of tools that make machine learning more accessible, by simplifying deep neural networks and providing reusable code so that new machine-learning apps don't have to be written from scratch. TensorFlow Quantum is set to do the same for quantum machine learning. TensorFlow Quantum will let you write quantum apps without getting bogged down in the details of the hardware they are running on.

At the World Government Summit in Dubai in February, Tesla and SpaceX chief executive Elon Musk said that people would need to become cyborgs to be relevant in an artificial intelligence age. He said that a "merger of biological intelligence and machine intelligence" would be necessary to ensure we stay economically valuable. Soon afterwards, the serial entrepreneur created Neuralink, with the intention of connecting computers directly to human brains. He wants to do this using "neural lace" technology – implanting tiny electrodes into the brain for direct computing capabilities. Various forms of BCI are already available, from ones that sit on top of your head and measure brain signals to devices that are implanted into your brain tissue.

Last week, we learned that Elon Musk will start a mind-computer interface company called Neuralink. The name added a brainy new entry to Musk's growing scroll of big ideas--Tesla, SolarCity, SpaceX, the Hyperloop. But as the news of Musk's nascent venture to merge man and machine spread across social media, an electrical engineer in Ohio named Pedram Mohseni must have been slapping his forehead. That's because in January he'd agreed to sell the name Neuralink to Musk without realizing it. Mohseni, a professor at Case Western Reserve University, and his scientific partner, Randolph Nudo of Kansas University Medical Center, had owned the trademark on "NeuraLink" since 2015 after creating their own startup company.