Safety in the Digital Age: Sociotechnical Perspectives on Algorithms and Machine Learning: SpringerBriefs in Applied Sciences and Technology
Editat de Jean-Christophe Le Coze, Stian Antonsenen Limba Engleză Paperback – 8 aug 2023
The contributors whose work features in this book help their readers to navigate the massive increase in the capability to generate and use data in developing algorithms intended for automation of work, machine learning and next-generation artificial intelligence and the blockchain technology already in such extensive use in real-world organizations.
This book deals with such issues as:
· How can high-risk and safety-critical systems be affected by these developments, in terms of their activities, theirorganization, management and regulation?
· What are the sociotechnical challenges of the proliferation of big data, algorithmic influence and cyber-security challenges in health care, transport, energy production/distribution and production of goods?
Understanding the ways these systems operate in the rapidly changing digital context has become a core issue for academic researchers and other experts in safety science, security and critical-infrastructure protection. The research presented here offers a lens through which the reader can grasp the way such systems evolve and the implications for safety—an increasingly multidisciplinary challenge that this book does not shrink from addressing.
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Specificații
ISBN-13: 9783031326325
ISBN-10: 3031326326
Ilustrații: VI, 137 p. 9 illus., 5 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile SpringerBriefs in Applied Sciences and Technology, SpringerBriefs in Safety Management
Locul publicării:Cham, Switzerland
ISBN-10: 3031326326
Ilustrații: VI, 137 p. 9 illus., 5 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile SpringerBriefs in Applied Sciences and Technology, SpringerBriefs in Safety Management
Locul publicării:Cham, Switzerland
Cuprins
1. Safety in a digital age: old and new problems.- 2. The digitalisation of risk assessment: Fulfilling the promises of prediction?.- 3. Key Dimensions of Algorithmic Management, Machine Learning and Big Data in Differing Large Sociotechnical Systems, with Implications for Systemwide Safety Management.- 4. Digitalization, safety and privacy.- 5. Design and dissemination of blockchain technologies: the challenge of privacy.- 6. Considering Severity of Safety-Critical System Outcomes in Risk Analysis: An Extension of Fault-Tree Analysis.- 7. Are we going towards “no-brainer” safety management?.- 8. Looking at the safety of AI from a systems perspective: Two healthcare examples.- 9. Normal Cyber-crises.- 10. Information security behaviour in an organisation providing critical infrastructure: A pre-post study of efforts to improve information security culture.- 11. AI at work, working with AI. First lessons from real use-cases.- 12. Safety in the digital age – sociotechnical challenges.
Notă biografică
Jean-Christophe Le Coze is a safety researcher (Ph.D., Mines ParisTech) at INERIS, the French national institute for environmental safety. His activities combine ethnographic studies and action research in various safety-critical systems, with an empirical, theoretical, historical, visual and epistemological orientation. He has authored several books and numerous journal articles on safety science and is an associate editor of the journal Safety Science.
Stian Antonsen holds a Ph.D. degree in organizational sociology and is a safety researcher at NTNU Social Research and the Norwegian University of Science and Technology. His research activities include the relationship between organizational culture and safety and the development of societal security. He is the author of several books on safety culture and safety research, has published numerous journal articles on safety science and is a member of the editorial board of the journal Safety Science.
Stian Antonsen holds a Ph.D. degree in organizational sociology and is a safety researcher at NTNU Social Research and the Norwegian University of Science and Technology. His research activities include the relationship between organizational culture and safety and the development of societal security. He is the author of several books on safety culture and safety research, has published numerous journal articles on safety science and is a member of the editorial board of the journal Safety Science.
Textul de pe ultima copertă
This open access book gathers authors from a wide range of social-scientific and engineering disciplines to review challenges from their respective fields that arise from the processes of social and technological transformation taking place worldwide. The result is a much-needed collection of knowledge about the integration of social, organizational and technical challenges that need to be tackled to uphold safety in the digital age.
The contributors whose work features in this book help their readers to navigate the massive increase in the capability to generate and use data in developing algorithms intended for automation of work, machine learning and next-generation artificial intelligence and the blockchain technology already in such extensive use in real-world organizations.
This book deals with such issues as:
· How can high-risk and safety-critical systems be affected by these developments, in terms of their activities, theirorganization, management and regulation?
· What are the sociotechnical challenges of the proliferation of big data, algorithmic influence and cyber-security challenges in health care, transport, energy production/distribution and production of goods?
Understanding the ways these systems operate in the rapidly changing digital context has become a core issue for academic researchers and other experts in safety science, security and critical-infrastructure protection. The research presented here offers a lens through which the reader can grasp the way such systems evolve and the implications for safety—an increasingly multidisciplinary challenge that this book does not shrink from addressing.
The contributors whose work features in this book help their readers to navigate the massive increase in the capability to generate and use data in developing algorithms intended for automation of work, machine learning and next-generation artificial intelligence and the blockchain technology already in such extensive use in real-world organizations.
This book deals with such issues as:
· How can high-risk and safety-critical systems be affected by these developments, in terms of their activities, theirorganization, management and regulation?
· What are the sociotechnical challenges of the proliferation of big data, algorithmic influence and cyber-security challenges in health care, transport, energy production/distribution and production of goods?
Understanding the ways these systems operate in the rapidly changing digital context has become a core issue for academic researchers and other experts in safety science, security and critical-infrastructure protection. The research presented here offers a lens through which the reader can grasp the way such systems evolve and the implications for safety—an increasingly multidisciplinary challenge that this book does not shrink from addressing.
Caracteristici
This book is open access, which means that you have free and unlimited access Useful for teaching courses in risk governance Helps readers with the challenges of technological transformation in high-risk organizations Reviews challenges that arise from the processes of social and technological transformation taking place worldwide