Safety in the Digital Age : : Sociotechnical Perspectives on Algorithms and Machine Learning.
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| Superior document: | SpringerBriefs in Applied Sciences and Technology Series |
|---|---|
| : | |
| TeilnehmendeR: | |
| Place / Publishing House: | Cham : : Springer,, 2023. ©2023. |
| Year of Publication: | 2023 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | SpringerBriefs in Applied Sciences and Technology Series
|
| Online Access: | |
| Physical Description: | 1 online resource (135 pages) |
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Table of Contents:
- Intro
- Contents
- 1 Safety in a Digital Age: Old and New Problems-Algorithms, Machine Learning, Big Data and Artificial Intelligence
- References
- 2 The Digitalisation of Risk Assessment: Fulfilling the Promises of Prediction?
- 2.1 Introduction
- 2.2 Assessing and Computing Risks
- 2.3 Layers of Transformation: A Historical Perspective on Digitalisation
- 2.3.1 Mathematical Models: Technologies of Computing
- 2.3.2 Datafication
- 2.3.3 Computational Risk Assessment: The Integrated Vision
- 2.4 Discussion
- References
- 3 Key Dimensions of Algorithmic Management, Machine Learning and Big Data in Differing Large Sociotechnical Systems, with Implications for Systemwide Safety Management
- 3.1 Roadmap and Introduction
- 3.2 Limitations of "Automation" as a Covering Concept
- 3.3 Developers' Perspective on a New Software Application
- 3.4 What's the Upshot for System Safety? Obsolescence as a Long-Term Sociotechnical Concern
- 3.5 A Concluding Speculation on When System Safety is Breached
- References
- 4 Digitalisation, Safety and Privacy
- 4.1 Introduction
- 4.2 Individualised Digital Tools and Privacy at Work
- 4.2.1 An Empirical Analysis
- 4.3 Conclusion
- Bibliography
- 5 Design and Dissemination of Blockchain Technologies: The Challenge of Privacy
- 5.1 A First Privacy Test: Defining Governance
- 5.1.1 The Appointment of a Controller, a "Test" for the Consortium
- 5.1.2 A Form of Recentralisation Contrary to the Imagination of Blockchain Designers
- 5.1.3 The Compromise of Choosing the Consortium Blockchain
- 5.2 Second Privacy Test: Management of Personal Data
- 5.2.1 Setting up an Off-Chain System to Store the Data
- 5.2.2 Data Minimisation
- 5.3 Third Privacy Test: A User Pathway Tested for Explicability and Security
- 5.3.1 Three Requests for Consent
- 5.3.2 An Opaque Security Key System.
- 5.4 Conclusion
- References
- 6 Considering Severity of Safety-Critical System Outcomes in Risk Analysis: An Extension of Fault Tree Analysis
- 6.1 Motivation
- 6.2 Background
- 6.3 Objective
- 6.4 Review of Traditional FTA
- 6.5 A Consequence Severity-Probability Importance Measure Algorithm for FTA
- 6.6 Conclusions
- References
- 7 Are We Going Towards "No-Brainer" Safety Management?
- 7.1 Introduction
- 7.1.1 Artificial Intelligence and Machine Learning
- 7.1.2 Monitoring of Early Deviations and Past Events
- 7.2 Examples of AI-Based Prediction
- 7.2.1 Consequence Class Associated with a Hazardous Material Release
- 7.2.2 Wellhead Damage Frequency in a Drilling Rig
- 7.2.3 Alarm Chattering in an Ammonia Plant
- 7.3 Method
- 7.3.1 Metrics
- 7.4 Results and Discussion
- 7.5 Conclusion
- References
- 8 Looking at the Safety of AI from a Systems Perspective: Two Healthcare Examples
- 8.1 Introduction
- 8.2 Challenges Old and New
- 8.3 Example 1: AI-based infusion pumps for IV medication administration
- 8.4 Example 2: AI to support the recognition of out-of-hospital cardiac arrest
- 8.5 Conclusion
- References
- 9 Normal Cyber-Crises
- 9.1 Introduction
- 9.2 Normal Accidents and High Reliability Organisations
- 9.3 Analysis
- 9.3.1 Technology
- 9.3.2 Cognition
- 9.3.3 Organisation
- 9.3.4 Macro
- 9.4 Conclusion
- References
- 10 Information Security Behaviour in an Organisation Providing Critical Infrastructure: A Pre-post Study of Efforts to Improve Information Security Culture
- 10.1 Introduction
- 10.1.1 Background
- 10.1.2 Aims
- 10.1.3 Previous Research
- 10.2 Methods
- 10.2.1 Qualitative Interviews
- 10.2.2 Quantitative Survey
- 10.2.3 Samples
- 10.3 Results
- 10.3.1 IS Management System Implementation
- 10.3.2 Improvements in ISC
- 10.3.3 Improvements in Information Security Behaviour.
- 10.4 Discussion
- 10.4.1 The Implementation of ISMS
- 10.4.2 How Can We Explain the Improvements in Information Security Culture?
- 10.4.3 How Can We Explain the Improvements in Information Security Behaviours?
- 10.4.4 Safety Culture Versus Security Culture
- 10.5 Conclusion
- References
- 11 AI at Work, Working with AI. First Lessons from Real Use Cases
- 11.1 Artificial Intelligence at Work: Five Workers Stories
- 11.2 From Stories to Real Cases: What Working with AI Could Mean
- 11.2.1 Five Workers Stories Put to Test of Real World
- 11.3 Discussion: AI, Organisation, Workers and Safety
- References
- 12 Safety in the Digital Age-Sociotechnical Challenges
- 12.1 Introduction
- 12.1.1 What is a "Sociotechnical Perspective"?
- 12.2 Sociotechnical Challenges
- 12.2.1 Where is "The System"? The Migration of Risk
- 12.2.2 The Relations of Rationalities
- 12.2.3 The Big Picture Versus Empirical Specificities ("Moving Closer" and "Zooming Out")
- 12.3 Looking Forward
- References.