column

Free access

Intelligence on tap: artificial intelligence as a new design material

Author:

Lars Erik HolmquistAuthors Info & Claims

Interactions, Volume 24, Issue 4

Pages 28 - 33

https://doi.org/10.1145/3085571

Published: 23 June 2017 Publication History

All formats PDF

References

[1]

Kharpal, A. Google co-founder Sergey Brin says he's 'surprised' by pace of A.I. and uses a story of a cat to explain it. CNBC.com. Jan. 19, 2017; http://www.cnbc.com/2017/01/19/google-co-founder-sergey-brin-said-he-is-surprised-by-pace-of-ai.html

Google Scholar

[2]

Metz, C. Google's AI wins fifth and final game against Go genius Lee Sedol. Wired. Mar. 3, 2016; https://www.wired.com/2016/03/googles-ai-wins-fifth-final-game-go-genius-lee-sedol/

Google Scholar

[3]

Clark, J. Google cuts its giant electricity bill with deep mind-powered AI. Bloomberg Technology. Jul. 19, 2016; https://www.bloomberg.com/news/articles/2016-07-19/google-cuts-its-giant-electricity-bill-with-deepmind-powered-ai

Google Scholar

[4]

Metz, C. 2016: The year that deep learning took over the Internet. Wired. Dec. 26, 2016; https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/

Google Scholar

[5]

Greengard, S. GPUs reshape computing. Communications of the ACM 59, 9 (2016), 14--16.

Digital Library

Google Scholar

[6]

Thomee, B., Shamma, D.A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., and Li, L. YFCC100M: The new data in multimedia research. Communications of the ACM 59, 2 (2016), 64--73.

Digital Library

Google Scholar

[7]

Abadi, M. et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016).

Google Scholar

[8]

Facebook scales back AI flagship after chatbots hit 70% f-AI-lure rate. The Register. Mar. 22, 2017; https://www.theregister.co.uk/2017/02/22/facebook_ai_fail/

Google Scholar

[9]

Cassell, J. Embodied Conversational Agents. MIT Press, 2000.

Digital Library

Google Scholar

[10]

Wong, S. Google Translate AI invents its own language to translate with. New Scientist. Nov. 30, 2016; https://www.newscientist.com/article/2114748-google-translate-ai-invents-its-own-language-to-translate-with/

Google Scholar

[11]

Vincent, J. Twitter taught Microsoft's AI chatbot to be a racist asshole in less than a day. The Verge. Mar. 24, 2016; http://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist

Google Scholar

[12]

Gartner 2016 Hype Cycle. Aug. 16, 2016; http://www.gartner.com/newsroom/id/3412017

Google Scholar

Cited By

View all

Muralikumar MMcDonald D(2024)Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/MLProceedings of the ACM on Human-Computer Interaction10.1145/36869868:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686986
Tsiakas KMurray-Rust D(2024)Unpacking Human-AI interactions: From Interaction Primitives to a Design SpaceACM Transactions on Interactive Intelligent Systems10.1145/366452214:3(1-51)Online publication date: 8-Jun-2024
https://dl.acm.org/doi/10.1145/3664522
Flechtner RKilian J(2024)Making (Non-)Sense—A Playful and Explorative Approach to Teaching AI Intuition for the Design of Sensor-Based InteractionsProceedings of the 6th Annual Symposium on HCI Education10.1145/3658619.3658643(1-9)Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1145/3658619.3658643
Show More Cited By

Index Terms

Intelligence on tap: artificial intelligence as a new design material
1. Computing methodologies
  1. Artificial intelligence
2. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods

Recommendations

Artificial intelligence
Abstract
Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brief history of ...
Artificial Intelligence: Theories, Models and Applications 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings
A Collective Intelligence Approach to Safe Artificial General Intelligence
Artificial General Intelligence
Abstract
If Artificial General Intelligence (AGI) proves to be a “winner-take-all” scenario where the first company or country to develop AGI dominates, then the first AGI must also be the safest. The safest, and fastest, path to AGI may be to harness the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

Interactions Volume 24, Issue 4

July-August 2017

78 pages

ISSN:1072-5520

EISSN:1558-3449

DOI:10.1145/3115390

Editors:
Simone Barbosa
Association for Computing Machinery, New York, NY
,
Gilbert Cockton
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2017

Published in INTERACTIONS Volume 24, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Column
Popular
Pre-selected

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

88
Total Citations
View Citations
7,110
Total Downloads

Downloads (Last 12 months)1,563
Downloads (Last 6 weeks)120

Reflects downloads up to 13 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Muralikumar MMcDonald D(2024)Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/MLProceedings of the ACM on Human-Computer Interaction10.1145/36869868:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686986
Tsiakas KMurray-Rust D(2024)Unpacking Human-AI interactions: From Interaction Primitives to a Design SpaceACM Transactions on Interactive Intelligent Systems10.1145/366452214:3(1-51)Online publication date: 8-Jun-2024
https://dl.acm.org/doi/10.1145/3664522
Flechtner RKilian J(2024)Making (Non-)Sense—A Playful and Explorative Approach to Teaching AI Intuition for the Design of Sensor-Based InteractionsProceedings of the 6th Annual Symposium on HCI Education10.1145/3658619.3658643(1-9)Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1145/3658619.3658643
Gray CToombs A(2024)Themes, Lenses, and Materials: Three Perspectives on HCI Program DevelopmentProceedings of the 6th Annual Symposium on HCI Education10.1145/3658619.3658622(1-5)Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1145/3658619.3658622
Alavi HMlynar J(2024)Dangers of Designing with DataCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3663732(153-156)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656156.3663732
Petridis STerry MCai C(2024)PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers’ WorkflowsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661613(743-756)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661613
Takaffoli MLi SMäkelä V(2024)Generative AI in User Experience Design and Research: How Do UX Practitioners, Teams, and Companies Use GenAI in Industry?Proceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660720(1579-1593)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660720
Ehsan ULiao QPassi SRiedl MDaumé H(2024)Seamful XAI: Operationalizing Seamful Design in Explainable AIProceedings of the ACM on Human-Computer Interaction10.1145/36373968:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637396
Germanakos P(2024)"It's Time!" Toward a Human-AI Quantum Experience Design Paradigm: Reinventing the Theoretical Framework of HCIExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650946(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650946
Cho SJon SJin YJung JOh C(2024)Understanding the Dynamics in Creating Domain-Specific AI Design Guidelines: A Case Study of a Leading Digital Finance Company in South KoreaExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650759(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650759
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

HTML Format

View this article in HTML Format.

HTML Format

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Index Terms

Recommendations

Artificial intelligence

Artificial Intelligence: Theories, Models and Applications 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings

A Collective Intelligence Approach to Safe Artificial General Intelligence

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Digital Edition

HTML Format

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations