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Foreword 0 Introduction 0 1 Scope 0 2 Normative references 0 3 Terms and definitions 0 4 Overview 0 5 Existing frameworks applicable to trustworthiness 0 5.1 Background 0 5.2 Recognition of layers of trust 0 5.3 Application of software and data quality standards 0 5.4 Application of risk management 0 5.5 Hardware-assisted approaches 0 6 Stakeholders 0 6.1 General concepts 0 6.2 Types 0 6.3 Assets 0 6.4 Values 0 7 Recognition of high-level concerns 0 7.1 Responsibility, accountability and governance 0 7.2 Safety 0 8 Vulnerabilities, threats and challenges 0 8.1 General 0 8.2 AI specific security threats 0 8.2.1 General 0 8.2.2 Data poisoning 0 8.2.3 Adversarial attacks 0 8.2.4 Model stealing 0 8.2.5 Hardware-focused threats to confidentiality and integrity 0 8.3 AI specific privacy threats 0 8.3.1 General 0 8.3.2 Data acquisition 0 8.3.3 Data pre-processing and modelling 0 8.3.4 Model query 0 8.4 Bias 0 8.5 Unpredictability 0 8.6 Opaqueness 0 8.7 Challenges related to the specification of AI systems 0 8.8 Challenges related to the implementation of AI systems 0 8.8.1 Data acquisition and preparation 0 8.8.2 Modelling 0 8.8.3 Model updates 0 8.8.4 Software defects 0 8.9 Challenges re

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