1 INTRODUCTION

2 RELATING AI POLICY FRAMEWORKS TO TECHNOLOGY PROPERTIES

3 TRUSTWORTHY MACHINE LEARNING LIFE CYCLE

4 FEAS: DEFINITIONS, CHALLENGES, AND ASSESSMENT

5 DATA-CENTRIC TRUSTWORTHINESS TECHNOLOGIES

6 MODEL-CENTRIC TRUSTWORTHINESS TECHNOLOGIES

7 OPEN PROBLEMS

8 CONCLUSION