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transcript
Chapter
Open Access
Transgressing the Boundaries
Towards a Rigorous Understanding of Deep Learning and Its (Non )Robustness
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Chapters in this book
- Frontmatter 1
- Editorial 2
- Contents 5
- Preface 7
- Learning Algorithms 9
- Transgressing the Boundaries 43
- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving 83
- Limits and Prospects of Big Data and Small Data Approaches in AI Applications 115
- Artificial Intelligence and/as Risk 143
- When You Can’t Have What You Want 163
- Man-Machines 195
- Trends in Explainable Artificial Intelligence for Non-Experts 223
- Machine Dreaming 245
- Let’s Fool That Stupid AI 267
- Authors 285
Chapters in this book
- Frontmatter 1
- Editorial 2
- Contents 5
- Preface 7
- Learning Algorithms 9
- Transgressing the Boundaries 43
- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving 83
- Limits and Prospects of Big Data and Small Data Approaches in AI Applications 115
- Artificial Intelligence and/as Risk 143
- When You Can’t Have What You Want 163
- Man-Machines 195
- Trends in Explainable Artificial Intelligence for Non-Experts 223
- Machine Dreaming 245
- Let’s Fool That Stupid AI 267
- Authors 285
