Details
| Original language | English |
|---|---|
| Title of host publication | ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks |
| Subtitle of host publication | Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018) |
| Publication status | Published - 2018 |
| Event | 2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018 - Monterey, United States Duration: 8 Oct 2018 → 12 Oct 2018 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 2180 |
| ISSN (Print) | 1613-0073 |
Abstract
AI-empowered dialog systems become increasingly widespread, with over 40 million units of Amazon Alexa and Google Home installed alone in the USA in 2017, according to recent surveys. Whereas this adoption facilitates AI-based systems to engage in end user dialogs on an unprecedented scale, the ability of AI to learn from their human dialog partners is still substantially limited. In this paper we briefly discuss the opportunities, challenges and risks on the interface of knowledge acquisition and human computer interaction towards more expressive dialogs between end users and AI. Our goal is to facilitate AI to directly gain knowledge from end users, while ensuring mutually beneficial interaction.
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
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ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks: Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018). 2018. (CEUR Workshop Proceedings; Vol. 2180).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Can children teach AI? Towards expressive human-AI dialogs
AU - Demidova, Elena
PY - 2018
Y1 - 2018
N2 - AI-empowered dialog systems become increasingly widespread, with over 40 million units of Amazon Alexa and Google Home installed alone in the USA in 2017, according to recent surveys. Whereas this adoption facilitates AI-based systems to engage in end user dialogs on an unprecedented scale, the ability of AI to learn from their human dialog partners is still substantially limited. In this paper we briefly discuss the opportunities, challenges and risks on the interface of knowledge acquisition and human computer interaction towards more expressive dialogs between end users and AI. Our goal is to facilitate AI to directly gain knowledge from end users, while ensuring mutually beneficial interaction.
AB - AI-empowered dialog systems become increasingly widespread, with over 40 million units of Amazon Alexa and Google Home installed alone in the USA in 2017, according to recent surveys. Whereas this adoption facilitates AI-based systems to engage in end user dialogs on an unprecedented scale, the ability of AI to learn from their human dialog partners is still substantially limited. In this paper we briefly discuss the opportunities, challenges and risks on the interface of knowledge acquisition and human computer interaction towards more expressive dialogs between end users and AI. Our goal is to facilitate AI to directly gain knowledge from end users, while ensuring mutually beneficial interaction.
UR - http://www.scopus.com/inward/record.url?scp=85055335736&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85055335736
T3 - CEUR Workshop Proceedings
BT - ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks
T2 - 2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018
Y2 - 8 October 2018 through 12 October 2018
ER -