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 proliferation of consumer health devices such as smart watches, sleep monitors, smart scales, etc, in many countries, has not only led to growing interest in health monitoring, but also to the development of a countless number of ``smart'' applications to support the exploration of such data by members of the general public, sometimes with integration into professional health services. While a variety of health data streams has been made available by such devices to users, these streams are often presented as separate time-series visualizations, in which the potential relationships between health variables are not explicitly made visible. Furthermore, despite the fact that other aspects of life, such as work and social connectivity, have become increasingly digitised, health and well-being applications make little use of the potentially useful contextual information provided by widely used personal information management tools, such as shared calendar and email systems. This paper presents a framework for the integration of these diverse data sources, analytic and visualization tools, with inference methods and graphical user interfaces to help users by highlighting causal connections among such time-series.

This paper discusses and explores the potential and relevance of recent developments in artificial intelligence (AI) and digital twins for health and well-being in low-resource African countries. We use the case of public health emergency response to disease outbreaks and epidemic control. There is potential to take advantage of the increasing availability of data and digitization to develop advanced AI methods for analysis and prediction. Using an AI systems perspective, we review emerging trends in AI systems and digital twins and propose an initial augmented AI system architecture to illustrate how an AI system can work with a 3D digital twin to address public health goals. We highlight scientific knowledge discovery, continual learning, pragmatic interoperability, and interactive explanation and decision-making as essential research challenges for AI systems and digital twins.

What you would do next if you were planning to get AI to create that book entirely is to do more detailed outlines for each chapter and work through those to build the content. The thing about ChatGPT is that it's a conversation rather than individual tasks knotted together. The software should remember what you're working on and factor that in, though, as we shall see in a bit, it does sometimes go off the tracks which can be frustrating. Now that the genie is well and truly out of the bottle, everyone is into this in the tech world. Microsoft has put some 10 billion into resourcing ChatGPT and there's a pretty feral gold rush-style race going on for dominance. It's not going to stop here and this is only the beginning. Google initially said that they would penalise AI-generated content on their search engine but did practically a total about-face at the beginning of this year when they realised what was happening.

Imagine having a virtual version of yourself, a digital twin, that can help you make better decisions about your health and lifestyle. Sounds like science fiction, right? Well, with the advancements in artificial intelligence (AI) and personalized health monitoring, this concept is becoming a reality. In this article, we'll explore how AI-driven personalized health monitoring is changing the way we approach healthcare and what it means for the future of medicine. A digital twin is a virtual replica of a physical object, system, or even a human being.

If you've ever wished your brain was more user-friendly, neurotechnology might seem like a dream come true. It's all about offering you ways to hack your brain, getting it to do more of what you want and less of what you don't want. There are "nootropics" -- also known as "smart drugs" or "cognitive enhancers" -- pills that supposedly give your brain a boost. There's neurofeedback, a tool for training yourself to regulate your brain waves; research has shown it has the potential to help people struggling with conditions like ADHD and PTSD. There's brain stimulation, which uses electric currents to directly target certain brain areas and change their behavior; it's shown promise in treating severe depression by disrupting depression-linked neural activity. Oh, and Elon Musk and Mark Zuckerberg are working on brain-computer interfaces that could pick up thoughts directly from your neurons and translate them into words in real time, which could one day allow you to control your phone or computer with just your thoughts. Some of these technologies can offer very valuable help to people who need it.

Over the course of the last two years, we interviewed mayors, city officials, urban planners, academics, and citizens in cities around the world to identify the trends that are making urban living more sustainable, affordable, and human. One theme that emerged was cities' increasingly important role in ensuring the health and well-being of their residents.4 Cities currently represent just 3% of the world's territory but harbor 55% of the world's population. By 2050, it's estimated that 70% of the world's population will live in urban centers.5 At an economic level, cities generate around 80% of the global GDP,6 and are responsible for 80% of energy consumption and more than 70% of carbon emissions and global waste.7

Artificial Intelligence will have a long and lasting impact on our lives. It is already at work in many of the devices we use and it will only become more indispensable as time goes on. And it's not just about machines doing things that we would otherwise do ourselves, like driving cars or organizing our lives. AI will also make all sorts of things cheaper, more convenient, and safer–from medical diagnoses to movie recommendations to home security. In the past few years, artificial intelligence (AI) has made incredible strides. We've seen AI beat humans in complex games like Go and chess, and it is now being used in a variety of applications such as autonomous vehicles, facial recognition, and fraud detection.

Juanita's friend always asks how she's feeling, wants to know if she slept well and tells jokes that are so funny, Juanita repeats them later at dinner. Oh, and Juanita's friend happens to be a robot. ElliQ is a proactive care companion that uses artificial intelligence to build relationships with seniors while supporting their health and well-being. Perhaps thought of as a more empathetic version of Amazon's Alexa, ElliQ has been featured by major outlets such as the "Today" show, USA Today, The New Yorker and AARP. Juanita, who appears in promotional videos for ElliQ, is one of the more than 1,000 older adults who have helped test ElliQ, which first became available for purchase in the U.S. in March.

In December 2020 we announced the launch of our focus series AI for Good: UN sustainable development goals (SDGs). Each month we pick a different sustainable development goal (SDG) and highlight work in that area. Following a terrific response to our first focus on "good health and well-being", we bring you the first of our monthly summary articles where we provide a brief overview of the topic and some highlights from the series. With the COVID-19 pandemic dominating our lives at the moment, research relating to the disease has rightly received considerable coverage in our focus series. In partnership with CLAIRE's COVID-19 taskforce initiative we have brought you articles covering the formation of the taskforce, and about some of the research from the participants.