The errors, insights and lessons of famous AI predictions – and what they mean for the future-Reference-Cited by-同舟云学术

The errors, insights and lessons of famous AI predictions – and what they mean for the future

Published:2014-04-25 Issue:3 Volume:26 Page:317-342
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Armstrong Stuart¹,Sotala Kaj²,Ó hÉigeartaigh Seán S.¹

Affiliation:

1. The Future of Humanity Institute & Oxford Martin School, University of Oxford, Suite 8, Littlegate House, 16/17 St Ebbe's Street, Oxford, OX1 1PT, UK

2. Machine Intelligence Research Institute, 2721 Shattuck Avenue #1023, Berkeley, CA 94705, USA

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2014.895105

Reference61 articles.

1. Alesso, H. P. & Smith, C. F. (2008). Connections: Patterns of discovery. Hoboken, NJ: Wiley-Interscience.

2. Thinking Inside the Box: Controlling and Using an Oracle AI

3. Armstrong, S. & Sotala, K. (2012). How we're predicting AI – Or failing to. In J.Romportl, P.Ircing, E.Zackova, M.Polak, & R.Schuster (Eds.), Beyond AI: Artificial dreams (pp. 52–75). Pilsen: University of West Bohemia.

4. Hyperhomocysteinemia as a new risk factor for brain shrinkage in patients with alcoholism

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