Code Capital

Name: Code Capital | A Sociotechnical Framework to Understand the Implications of Artificially Intelligent Systems from Design to Deployment
Brand: Nomos
Price: 54.0 EUR
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A Sociotechnical Framework to Understand the Implications of Artificially Intelligent Systems from Design to Deployment

Léa Steinacker(Author)

Nomos (Publisher)

1st Edition

Published on 22. March 2022

239 pages

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978-3-7489-2945-1 (ISBN)

€54.00incl. 7% vat

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Content

Cover
1. Introduction
1.1 Ex Machina
1.1.1 Calls for Action
1.1.2 Institutional Responses
1.2 Objectives
1.3 Contributions
1.4 Overview
1.4.1 Methodology
1.4.2 Structure
1.5 Conclusion
2. Background: Artificial Intelligence
2.1 Introduction
2.2 A Brief History of AI
2.3 AI Systems Today
2.3.1 Classifications and Predictions
2.3.2 Rankings and Recommendations
2.3.3 Generation and Alteration
2.4 Contextualizing Central Issues
2.5 Conclusion
3. Related Work: Technology Studies
3.1 Introduction
3.2 Determinism vs Constructivism
3.2.1 Technology as Trajectory
3.2.2 Technology in Context
3.2.2.1 Actor-Network-Theory
3.2.2.2 Large Technical Systems
3.3 Towards Sociomateriality
3.3.1 Material features
3.3.2 Constitutive Entanglement
3.4 Discussion
3.4.1 Relevant actors
3.4.2 Material features
3.4.3 Sociomaterial practice and structures
3.4.4 External forces
3.5 Conclusion
4. Related Work: Capital Concepts
4.1 Introduction
4.2 Capital's Economic Origins
4.2.1 Money and Goods
4.2.2 People and Labor
4.2.3 Intangibles and Disputes
4.3 Capital as Social Leverage
4.3.1 Interpersonal Phenomena
4.3.2 Debate
4.4 Digital Technology and its Capitalisms
4.4.1 The What: Commodifying Knowledge
4.4.2 The How: Elevating Digital Technologies
4.4.3 The Why: Surveilling Others
4.5 Discussion
4.6 Conclusion
5. Code Capital
5.1 Introduction
5.2 Code Capital: The Concept
5.3 The CODE Framework
5.3.1 Conception
5.3.1.1 Sensegiving Actors
5.3.1.2 Narratives
5.3.1.3 Investments and Expected Returns
5.3.2 Operations
5.3.2.1 Model Infrastructure
5.3.2.2 User Interface
5.3.2.2 Device
5.3.3 Data
5.3.3.1 Collection
5.3.3.2 Pre-Processing
5.3.3.3 Ethical Concerns
5.3.4 Environment
5.3.4.1 Sensemaking Actors
5.3.4.2 Social Acceptance
5.3.4.3 Regulatory Boundaries
5.4 Discussion
5.5 Conclusion
6. Impact Assessment: Facial analysis
6.1 Introduction
6.1.1 Facial Recognition Technology and its Global Use
6.1.2 Issues of Concern: Bias, Accuracy, Privacy, and Abuse
6.1.3 Interaction with the Public
6.2 Conception
6.2.1 Sensegiving Actors
6.2.2 Narratives
6.2.3 Investment and Expected Return
6.3 Operations
6.3.1 Model Architecture
6.3.1.1 Open-source Set-up
6.3.1.2 Detection vs Recognition
6.3.2 Concerns
6.3.2.1 Accuracy
6.3.2.2 User privacy
6.3.2.3 Abuse
6.4 Data
6.4.1 Collection
6.4.2 Processing
6.5 Environment
6.5.1 Sensemaking Actors
6.5.1.1 Surveillance
6.5.1.2 Public acceptance
6.5.2 Regulatory Boundaries
6.6 Discussion
6.7 Conclusion
7. Systems Design: Text-to-Speech Synthesis
7.1 Introduction
7.1.1 Text-to-Speech Synthesis
7.1.2 Issues of Concern
7.1.2.1 Automation
7.1.2.2 Authenticity
7.1.2.3 Participation
7.1.2.4 Intimacy
7.2 Conception
7.2.1 Sensegiving Actors
7.2.2 Narratives
7.2.2.1 Trust
7.2.2.2 Revenue Diversification
7.2.3 Investment and Expected Returns
7.2.3.1 Funding
7.2.3.2 Business Model
7.3 Operations
7.3.1 Model Architecture
7.3.2 Evaluation
7.3.3 User Interface
7.4 Data
7.4.1 Collection
7.4.2 Pre-Processing
7.4.3 Storage
7.5 Environment
7.5.1 Sensemaking Actors
7.5.2 Regulatory Boundaries
7.6 Discussion
7.7 Conclusion
8. Conclusions
8.1 Summary
8.2 Limitations
8.3 Discussion
8.3.1 Theoretical Implications
8.3.1.1 Accumulation
8.3.1.2 Reproducibility
8.3.1.3 Conversion
8.3.2 Practical Applications
8.4 Outlook for Further Research
8.5 Concluding Remarks
References
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