Artificial intelligence

Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. https://doi.org/10.5281/zenodo.3240529

Buchanan, Bonnie. (2019, April 02). Artificial intelligence in finance. Zenodo. http://doi.org/10.5281/zenodo.2612537

Vollmer, Sebastian & Mateen, Bilal & Bohner, Gergo & J. Király, Franz & Ghani, Rayid & Jonsson, Pall & Cumbers, Sarah & Jonas, Adrian & S. L. McAllister, Katherine & Myles, Puja & Granger, David & Birse, Mark & Branson, Richard & GM Moons, Karel & Collins, Gary & Ioannidis, John & Holmes, Chris & Hemingway, Harry. (2018). Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. arXiv:1812.10404.

K. Choromanski*, M. Rowland*, T. Sarlos, V. Sindhwani, R. Turner and A. Weller. The geometry of random features. In Artificial Intelligence and Statistics (AISTATS), 2018 [*equal contribution].

Flach P. Performance Evaluation in Machine Learning: The Good, The Bad, The Ugly and The Way Forward (2018).

Retool AI to Forecast and Limit Wars, W. Guo, K. Gleditsch, A. Wilson, Nature, vol. 562, 331-333, Oct 2018

Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks and Charles Sutton (2019). ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).

Ojanperä, Sanna, O'Clery, Neave, & Graham, Mark. (2018, October 24). Data science, artificial intelligence and the futures of work. Zenodo. http://doi.org/10.5281/zenodo.1475162

Jiménez-Ruiz, E., Agibetov, A., Samwald, M., & Cross, V.V. (2018). Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings. CoRR, abs/1805.12402.