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MODEL ARTIFICIAL INTELLIGENCE GOVERNANCE …

MODEL ARTIFICIAL INTELLIGENCE GOVERNANCE FRAMEWORK 1 ARTIFICIAL INTELLIGENCEGOVERNANCE FRAMEWORKMODELSECOND EDITIONSUMMARY OF UPDATES .. 4 FOREWORD .. 71. PREAMBLE .. 92. INTRODUCTION .. 12 Objectives .. 13 Guiding Principles for the MODEL Framework .. 15 Assumptions .. 17 Definitions .. 183. MODEL AI GOVERNANCE FRAMEWORK .. 19 Internal GOVERNANCE Structures and Measures .. 21 Determining the Level of Human Involvement in AI-augmented Decision-making .. 28 Operations Management .. 35 Stakeholder Interaction and Communication .. 53 ANNEX A For Reference: A Compilation of Existing AI Ethical Principles .. 64 ANNEX BAlgorithm Audits .. 67 ACKNOWLEDGEMENTS .. 68 TABLE OF CONTENTS4 EDITIONDATE RELEASEDSUMMARYFIRST23 January 2019 Released the MODEL AI GOVERNANCE Framework (First Edition) at the 2019 World Economic Forum Annual Meeting in Davos, January 2020 Released the MODEL AI GOVERNANCE Framework (Second Edition) at the 2020 World Economic Forum Annual Meeting in Davos, key changes include: Addition of industry examples in each section to illustrate how organisations have implemented AI GOVERNANCE practices in that section; Updating the ti

effective in building trust with stakeholders. • Provided guidance on the necessity and relevance of the various measures: » Clariied that datasets used for building AI models may include both personal and non-personal data; » Included new measures such as robustness, reproducibility and auditability and provided

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  Trust, Governance, Building, Measure, Building trust

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