Title page
Contents
INTRODUCTION 5
1.1. Background 5
1.2. Why focus on older adults? 5
USE CASES AND UNIQUE CONSIDERATIONS FOR OLDER POPULATIONS 6
2.1. Use cases 6
2.1.1. Considerations: design 7
2.1.2. Considerations: development 7
2.1.3. Considerations: deployment 8
EXISTING GAPS IN THE DIGITAL INCLUSION OF OLDER ADULTS IN THE AI LIFECYCLE 8
3.1. Gap 1a: incomplete or biased data on older adults 9
3.2. Gap 1b: lack of inclusion of older adults in AI design and development 9
3.2.1. Recommendation 1: forge data-inclusion and transparency standards to integrate the experience of older adults in AI design and development 10
3.3. Gap 2: limited digital literacy and algorithmic awareness of older adults 10
3.3.1. Recommendation 2: empower user education and literacy for older adults, while ensuring proportional and appropriate modes of consent 11
3.4. Gap 3: limited corrective action post-AI deployment 12
3.4.1. Recommendation 3: establish a standard of care through monitoring, evaluation, and impact assessments 12
CONCLUSION 12