Artificial Intelligence For Social Good

An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

The influence of AI is beginning to filter into every aspect of life, spanning across education, healthcare, business, and more. However, as its prevalence grows, challenges must be addressed including AI replication and even exacerbation of human bias and discrimination and the development of policies and laws that appropriately regulate AI. Stakeholders from all sectors of society need to collaborate on co-designing innovative, agile frameworks for governing AI that allow for its continued adoption while minimizing risk and reducing disruption. Understanding the Role of Artificial Intelligence and Its Future Social Impact is a pivotal reference source that provides vital research on the application of AI within contemporary society and comprehends the future effects of this technology within modern civilization. While highlighting topics such as cognitive computing, ethical issues, and robotics, this publication explores the possible consequences of AI adoption as well as its disruption within industries and emerging markets. This book is ideally designed for researchers, developers, strategists, managers, practitioners, executives, analysts, scientists, policymakers, academicians, and students seeking current research on the future of AI and its influence on the global culture and society.

There’s no denying that CI is on its way to change the world as we know it. There are various social domains such as Environment, Education, Information Security, Healthcare, Crisis Response, Human Behavior and Bias, Disaster Management, Industrial management and most recently Epidemics and Outbreaks are highly in need of Intelligent Technologies to address their issues. This book presents the views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. As with most changes in life, there will be positive and negative impacts on society as artificial intelligence continues to transform the world, we live in. With the idea of future scope in research, the book focuses on the challenges that might be faced (and we should be thinking about how to address them now) as well as several of the positive impacts artificial intelligence will have on society. Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation for solving socially relevant problems Focuses on Forecasting applications, Human Behavior and Critics response analysis in social forums, Healthcare monitoring Systems, Disaster Management, Industrial management, and most recently, Epidemics and Outbreaks Brings together many different aspects of the current research on intelligence technologies, such as neural networks, support vector machines, fuzzy logic, and evolutionary computation

An insightful guide to using Artificial Intelligence for positive social impact, exploring the ethics, law, and best practices for addressing global issues of poverty, health, education, environment, and human rights.

Understand the real power of AI and and its ability to shape the future for the better. AI For Social Good: Using Artificial Intelligence to Save the World bridges the gap between the current state of reality and the incredible potential of AI to change the world. From humanitarian and environmental concerns to advances in art and science, every area of life stands poised to make a quantum leap into the future. The problem? Too few of us really understand how AI works and how to integrate it into our policies and projects. In this book, Rahul Dodhia, Deputy Director of Microsoft’s AI for Good Research Lab, offers a nontechnical exploration of artificial intelligence tools—how they’re built, what they can and can’t do, and the raw material that teaches them what they “know.” Readers will also find an inventory of common challenges they might face when integrating AI into their work. You'll also read more on: The potential for AI to solve longstanding issues and improve lives Learn how you can tap into the power of AI, regardless of the size of your organization Gain an understanding of how AI works and how to communicate with AI scientists to create new solutions Understand the real risks of implementing AI and how to avoid potential pitfalls Real-life examples and stories that demonstrate how teams of AI specialists, project managers, and subject matter experts can achieve remarkable products. Written for anyone who is curious about AI, and especially useful for policymakers, project managers, and leaders who work alongside AI, AI For Social Good provides discussions of how AI scientists create artificially intelligent systems, and how AI can be used ethically (or unethically) to transform society. You’ll also find a discussion of how governments can become more flexible, helping regulations keep up with the fast pace of change in technology.