CONTENTS
1. INTRODUCTION  
2. BACKGROUND  
2.1. Discrimination and Law  
2.2. Discrimination-Aware Machine Learning and Data Mining  
3. MACHINE LEARNING SETTINGS, DEFINITIONS AND SCENARIOS  
4. DISCRIMINATION MEASURES  
5. ANALYSIS OF CORE MEASURES  
6. RECOMMENDATIONS FOR RESEARCHERS AND PRACTITIONERS