Human-Centered AIThe remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity. |
Contents
| 3 | |
Part 2 HumanCentered AI Framework | 43 |
Part 3 Design Metaphors | 83 |
Part 4 Governance Structures | 141 |
Part 5 Where Do We Go from Here? | 227 |
Notes | 281 |
Bibliography | 327 |
| 359 | |
| 367 | |
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Accessed June 26 Accountability actions active algorithms applications approach Artificial Intelligence assessment audit automation Autonomous benefits better bias build cars centers challenge changes Chapter companies Conference continuous creativity decisions described developers devices discussions effective efforts enable Engineering Ethics example explainability failures Figure forms future give goal groups HCAI HCAI systems human control human-centered idea IEEE improve increase industry innovation Institute Interaction International Journal lead leaders levels limit machine learning managers methods Model offer older adults operation organizations performance possible powerful practices Press principles problems Proc processes projects recommendations regulation reliable require responsibility robots safe safety Science shows social social robots Society standards strategies successful suggests tasks testing thinking trustworthy understand University user interfaces visual widely York