Artificial Intelligence in Workplace Health and Safety


Book Description

In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.




Artificial Intelligence in Workplace Health and Safety


Book Description

In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.




Artificial Intelligence in Healthcare


Book Description

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data




The Future of Work


Book Description

Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.




Artificial Intelligence Safety and Security


Book Description

The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.




Beyond Disruption


Book Description

In Beyond Disruption: Technology's Challenge to Governance, George P. Shultz, Jim Hoagland, and James Timbie present views from some of the country's top experts in the sciences, humanities, and military that scrutinize the rise of post-millennium technologies in today's global society. They contemplate both the benefits and peril carried by the unprecedented speed of these innovations—from genetic editing, which enables us new ways to control infectious diseases, to social media, whose ubiquitous global connections threaten the function of democracies across the world. Some techniques, like the advent of machine learning, have enabled engineers to create systems that will make us more productive. For example, self-driving vehicles promise to make trucking safer, faster, and cheaper. However, using big data and artificial intelligence to automate complex tasks also ends up threatening to disrupt both routine professions like taxi driving and cognitive work by accountants, radiologists, lawyers, and even computer programmers themselves.




Handbook of Artificial Intelligence at Work


Book Description

With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.




Augmented Exploitation


Book Description

Artificial intelligence should be changing society, not reinforcing capitalist notions of work.




Advanced Robotics, Artificial Intelligence and the Automation of Tasks


Book Description

Digital technologies play an important role in our everyday lives, as well as in our workplaces. The intro-duction of new systems and technologies, such as artificial intelligence (AI) or advanced robotics, hold the potential to change a number of aspects related to the way human labour is designed and performed. To address emerging risks and to highlight implications related to occupational safety and health (OSH) adequately, the European Agency for Safety and Health at Work (EU-OSHA) has been undertaking extensive foresight research on Digitalisation and OSH since 2016. EU-OSHA's portfolio on this topic holds a number of activities, like a scenario-based foresight study or expert discussion paper to address the main chal-lenges for OSH associated with digitalisation. Building on this groundwork, EU-OSHA has launched the four-year research programme 'OSH overview on digitalisation' with the aim to develop and disseminate further information on the challenges and opportunities for OSH associated with digitalisation. The OSH overview consists of five main projects investigating OSH implications on the following topics: - advanced robotics and AI-based systems for automation of tasks, - new forms of worker management through AI-based systems, - online platform work, - new systems for the monitoring of workers' safety and health, and - remote and virtual work.




Can Surveillance AI Make the Workplace Safe?


Book Description

Organizations may soon start monitoring employees' whereabouts and behavior more closely than ever, using surveillance tools such as apps, sensors, and algorithms that scrape and analyze the data people produce as they work. With the help of artificial intelligence, this data can be translated into real-time diagnostics that gauge people's health and risk levels. That may sound creepy, but there are ethical ways to use AI to promote safety on the job.