publication . Article . Other literature type . Preprint . 2019

Viewpoint: Human-in-the-loop Artificial Intelligence

Fabio Massimo Zanzotto;
Open Access English
  • Published: 10 Feb 2019
  • Publisher: AI Access Foundation
  • Country: Italy
Abstract
<jats:p>Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future may have a possible dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job seekers may need financial support while catching up with these novel unpredictable jobs. This possible job market crisis has an antidote inside. In fact, the rise of AI is sustained by the biggest knowledge theft of the recent years. Many learning AI machines are extracting knowledge from unaware skilled or unskilled workers by ...
Subjects
ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS
free text keywords: Artificial Intelligence, Settore INF/01 - Informatica, Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni, Computer Science - Artificial Intelligence, I.2, I.2.6
Related Organizations
33 references, page 1 of 3

[1] David W. Aha, Trevor Darrell, Michael Pazzani, Darryn Reid, Claude Sammut, and Peter Stone. Proceedings of the IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI). August 2017.

[2] Peter C Austin, Jack V Tu, Jennifer E Ho, Daniel Levy, and Douglas S Lee. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. Journal of clinical epidemiology, 66(4):398-407, 2013.

[3] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473, 2014.

[4] Roberta Beccaceci, Francesca Fallucchi, Cristina Giannone, Francesca Spagnoulo, and Fabio Massimo Zanzotto. Education with” living artworks” in museums. In CSEDU (1), pages 346-349, 2009.

[5] Jean-Pierre Briot, Ga¨etan Hadjeres, and Franc¸ois Pachet. Deep learning techniques for music generation-a survey. arXiv preprint arXiv:1709.01620, 2017.

[6] Naom Chomsky. Aspect of Syntax Theory. MIT Press, Cambridge, Massachussetts, 1957.

[7] Michael Chui, James Manyika, and Mehdi Miremadi. Where machines could replace humans-and where they can't (yet). McKinsey Quarterly, July 2016.

[8] Lorenzo Ferrone and Fabio Massimo Zanzotto. Towards syntax-aware compositional distributional semantic models. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 721-730, Dublin, Ireland, August 2014. Dublin City University and Association for Computational Linguistics.

[9] Lorenzo Ferrone, Fabio Massimo Zanzotto, and Xavier Carreras. Decoding distributed tree structures. In Statistical Language and Speech Processing - Third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015, Proceedings, pages 73-83, 2015.

[10] Patrizia Ferroni, Fabio Massimo Zanzotto, Noemi Scarpato, Silvia Riondino, Umberto Nanni, Mario Roselli, and Fiorella Guadagni. Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients: a machine learning approach. Medical Decision Making, 37(2):234-242, 2017.

[11] Chelsea Gohd. Your next teacher could be a robot, February 2017.

[12] Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in Neural Information Processing Systems, pages 2672-2680, 2014.

[13] Andrew Gray, Mohammad Ali, Yiqi Gao, J Hedrick, and Francesco Borrelli. Semiautonomous vehicle control for road departure and obstacle avoidance. IFAC control of transportation systems, pages 1-6, 2012.

[14] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Identity mappings in deep residual networks. arXiv preprint arXiv:1603.05027, 2016.

[15] Eric C Huffman and Jonathon L Miner. Robotic sweeper cleaner with dusting pad, March 18 2008. US Patent 7,346,428.

33 references, page 1 of 3
Abstract
<jats:p>Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future may have a possible dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job seekers may need financial support while catching up with these novel unpredictable jobs. This possible job market crisis has an antidote inside. In fact, the rise of AI is sustained by the biggest knowledge theft of the recent years. Many learning AI machines are extracting knowledge from unaware skilled or unskilled workers by ...
Subjects
ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS
free text keywords: Artificial Intelligence, Settore INF/01 - Informatica, Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni, Computer Science - Artificial Intelligence, I.2, I.2.6
Related Organizations
33 references, page 1 of 3

[1] David W. Aha, Trevor Darrell, Michael Pazzani, Darryn Reid, Claude Sammut, and Peter Stone. Proceedings of the IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI). August 2017.

[2] Peter C Austin, Jack V Tu, Jennifer E Ho, Daniel Levy, and Douglas S Lee. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. Journal of clinical epidemiology, 66(4):398-407, 2013.

[3] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473, 2014.

[4] Roberta Beccaceci, Francesca Fallucchi, Cristina Giannone, Francesca Spagnoulo, and Fabio Massimo Zanzotto. Education with” living artworks” in museums. In CSEDU (1), pages 346-349, 2009.

[5] Jean-Pierre Briot, Ga¨etan Hadjeres, and Franc¸ois Pachet. Deep learning techniques for music generation-a survey. arXiv preprint arXiv:1709.01620, 2017.

[6] Naom Chomsky. Aspect of Syntax Theory. MIT Press, Cambridge, Massachussetts, 1957.

[7] Michael Chui, James Manyika, and Mehdi Miremadi. Where machines could replace humans-and where they can't (yet). McKinsey Quarterly, July 2016.

[8] Lorenzo Ferrone and Fabio Massimo Zanzotto. Towards syntax-aware compositional distributional semantic models. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 721-730, Dublin, Ireland, August 2014. Dublin City University and Association for Computational Linguistics.

[9] Lorenzo Ferrone, Fabio Massimo Zanzotto, and Xavier Carreras. Decoding distributed tree structures. In Statistical Language and Speech Processing - Third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015, Proceedings, pages 73-83, 2015.

[10] Patrizia Ferroni, Fabio Massimo Zanzotto, Noemi Scarpato, Silvia Riondino, Umberto Nanni, Mario Roselli, and Fiorella Guadagni. Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients: a machine learning approach. Medical Decision Making, 37(2):234-242, 2017.

[11] Chelsea Gohd. Your next teacher could be a robot, February 2017.

[12] Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in Neural Information Processing Systems, pages 2672-2680, 2014.

[13] Andrew Gray, Mohammad Ali, Yiqi Gao, J Hedrick, and Francesco Borrelli. Semiautonomous vehicle control for road departure and obstacle avoidance. IFAC control of transportation systems, pages 1-6, 2012.

[14] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Identity mappings in deep residual networks. arXiv preprint arXiv:1603.05027, 2016.

[15] Eric C Huffman and Jonathon L Miner. Robotic sweeper cleaner with dusting pad, March 18 2008. US Patent 7,346,428.

33 references, page 1 of 3
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