Abstract
Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this "last mile" of implementation lie many complex challenges that may make technically high-performing systems perform poorly. Instead of viewing artificial intelligence development as a linear one of algorithm development through to eventual deployment, there are strong reasons to take a more agile approach, iteratively developing and testing artificial intelligence within the context in which it finally will be used.
| Original language | English |
|---|---|
| Article number | e16323 |
| Pages (from-to) | 1-4 |
| Number of pages | 4 |
| Journal | Journal of Medical Internet Research |
| Volume | 21 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 8 Nov 2019 |
Bibliographical note
Copyright the Author(s). Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- artificial intelligence
- implementation sceince
- sociotechnical systems