Learning from the Past: How Previous Technological Transformations Can Guide AI Development
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2019
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866908376615616512 |
|---|---|
| author | Miikkulainen, Risto Smith, Jerry Hodjat, Babak |
| author_facet | Miikkulainen, Risto Smith, Jerry Hodjat, Babak |
| contents | Artificial Intelligence (AI) is rapidly changing many areas of society. While this transformation has tremendous potential, there are several challenges as well. Using the history of computing and the world-wide web as a guide, in this paper we identify pitfalls and solutions that suggest how AI can be developed to its full potential. If done right, AI will be instrumental in achieving the goals we set for the economy, the society, and the world in general. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1905_13178 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Learning from the Past: How Previous Technological Transformations Can Guide AI Development Miikkulainen, Risto Smith, Jerry Hodjat, Babak Artificial Intelligence Computers and Society Artificial Intelligence (AI) is rapidly changing many areas of society. While this transformation has tremendous potential, there are several challenges as well. Using the history of computing and the world-wide web as a guide, in this paper we identify pitfalls and solutions that suggest how AI can be developed to its full potential. If done right, AI will be instrumental in achieving the goals we set for the economy, the society, and the world in general. |
| title | Learning from the Past: How Previous Technological Transformations Can Guide AI Development |
| topic | Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/1905.13178 |