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Call for a wake standard for artificial intelligence

Published: 18 June 2020 Publication History

Abstract

Suggesting a Voice Name System (VNS) to talk to any object in the world.

References

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Bedi et al. Automated analysis of free speech predicts psychosis onset in high-risk youths. Nature npj/Schizophrenia, 1, (2015). 15030.
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Carlini, N., Mishra, P., Vaidya, T., Zhang, Y., Sherr, M., Shields, C. & Zhou, W. (2016, August). Hidden Voice Commands. In USENIX Security Symposium (pp. 513--530).
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Eichstaedt J.C. et al. Facebook language predicts depression in medical records. In Proceedings of the Natl Acad Sci USA, 115, 44 (2018); 11203--11208.
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Hueto, F. et al. Discovery RNNs, explainable RNN saliency visualization, and its application to unsupervised segmentation of COVID-19 forced coughs. To appear 2020.
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Khan, L.M. Amazon's antitrust paradox. Yale Law Journal 126 (2016), 710.
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Kraepelin, E. Manic depressive insanity and paranoia. The Journal of Nervous and Mental Disease 53, 4 (1921), 350.
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Laguarta, J. et al. Explainable Audio Proc. with the MIT CBMM Open Voice Brain Model: Multi-modal personalized diagnosis of Alzheimer using COVID-19 Coughs. To appear 2020.
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Sarma, S., Brock, D.L., and Ashton, K. The networked physical world. Auto-ID Center White Paper MIT-AUTOID-WH-001 (2000).
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Subirana B., and Bain, M. Legal programming: Privacy and security in highly dynamic systems. Commun. ACM 49, 9 (Sept. 2006), 57--62
[10]
Subirana, B., Bivings, R., and Sarma, S. Wake neutrality of AI devices. Chapter 9, Algorithms & Law, M. Ebers and S. Navas, Eds., Cambridge University Press, 2020 ISBN 9781108347846
[11]
Subirana, B. and Levinson, H. Conversational Computer Programming: Creating Software with Huey Conversational Commands. 2020.
[12]
Subirana, B. et al. Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic. arXiv preprint arXiv:2004.06510 (2020).
[13]
Subirana et al. The MIT Voice Name System (VNS) and the Huey Natural Language. White Paper, MIT Auto-ID Laboratory. arXiv preprint (2020).

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    Published In

    cover image Communications of the ACM
    Communications of the ACM  Volume 63, Issue 7
    July 2020
    102 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/3407166
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 June 2020
    Published in CACM Volume 63, Issue 7

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    • (2023)Contextualisation of Relational AI Governance in Existing ResearchThe Relational Governance of Artificial Intelligence10.1007/978-3-031-25023-1_4(165-212)Online publication date: 4-Feb-2023
    • (2022)AI and Big Data in TourismApplied Data Science in Tourism10.1007/978-3-030-88389-8_1(3-15)Online publication date: 31-Jan-2022
    • (2021)Longitudinal Speech Biomarkers for Automated Alzheimer's DetectionFrontiers in Computer Science10.3389/fcomp.2021.6246943Online publication date: 8-Apr-2021
    • (2020)COVID-19 Artificial Intelligence Diagnosis Using Only Cough RecordingsIEEE Open Journal of Engineering in Medicine and Biology10.1109/OJEMB.2020.30269281(275-281)Online publication date: 2020

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