AAAI Fellow
 |
| AAAI Fellow | |
|---|---|
| Awarded for | "Significant, sustained contributions to the field of artificial intelligence"[1] |
| Sponsored by | Association for the Advancement of Artificial Intelligence (AAAI) |
| Date | Started in 1990 (1990) |
| Location | Palo Alto, California |
| Country | United States |
| Total no. of Fellows | 371 |
| Website | aaai |
Fellowship of the Association for the Advancement of Artificial Intelligence (abbreviated as AAAI Fellow or FAAAI) is an award granted to individuals that the Association for the Advancement of Artificial Intelligence (AAAI), judged to have made "significant, sustained contributions — usually over at least a ten-year period — to the field of artificial intelligence" (AI).[1][2] Only a small percentage of members are nominated Fellows of the AAAI.[3][4]
Nominations
Between 5 and 10 fellows are nominated annually (since 1990) by current AAAI members. At the time of their nomination fellows have typically contributed to the field of AI for a decade or more after receiving their PhD or are at an equivalent career stage.[3]
A partial list of fellows including scientists and engineers such as John McCarthy, Marvin Minsky, Edward Feigenbaum, Judea Pearl, Geoffrey Hinton, Yoshua Bengio, Yann LeCun, and Stuart_J._Russell can be found in the Category:Fellows of the Association for the Advancement of Artificial Intelligence. A comprehensive list of fellows nominated since 1990 can be found on the aaai.org website.[1]
Some fellows use the post-nominal letters FAAAI.
References
- ^ abcAnon (2018). "Elected AAAI Fellows". aaai.org. Archived from the original on 2018-04-23. Retrieved 13 November 2018.
- ^Anon (2018). "AAAI Fellows Program". aaai.org. Retrieved 13 November 2018.
- ^ abAnon (2018). "AAAI Fellows Nomination Letter". aaai.org. Retrieved 13 November 2018.
- ^Rokach, Lior; Kalech, Meir; Blank, Ido; Stern, Rami (2011). "Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? Evaluating researchers by mining bibliographic data". Journal of the American Society for Information Science and Technology. 62 (12): 2456–2470. doi:10.1002/asi.21638. ISSN 1532-2882.
