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@article{55648, author = {Walker, Amanda and Rowland, Zuzana and Frajtová Michalíková, Katarina and Švábová, Lucia}, article_location = {New York, USA}, article_number = {2}, doi = {http://dx.doi.org/10.22381/CRLSJ12220204}, keywords = {urban; mobility; algorithm; machine learning; connected; vehicle}, language = {eng}, issn = {1948-9137}, journal = {Contemporary Readings in Law and Social Justice}, title = {Urban Mobility Technologies, Algorithm-driven Sensing Devices, and Machine Learning-based Ethical Judgments in a Connected Vehicle Environment}, url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-85096433693&origin=resultslist&sort=plf-f&src=s&st1=Urban+Mobility+Technologies%2c+Algorithm-driven+Sensing+Devices%2c+and+Machine+Learning-based+Ethical+Judgments+in+a+Connected+Vehicle+Environment&st}, volume = {12}, year = {2020} }
TY - JOUR ID - 55648 AU - Walker, Amanda - Rowland, Zuzana - Frajtová Michalíková, Katarina - Švábová, Lucia PY - 2020 TI - Urban Mobility Technologies, Algorithm-driven Sensing Devices, and Machine Learning-based Ethical Judgments in a Connected Vehicle Environment JF - Contemporary Readings in Law and Social Justice VL - 12 IS - 2 SP - 34-42 EP - 34-42 PB - Addleton Academic Publishers SN - 19489137 KW - urban KW - mobility KW - algorithm KW - machine learning KW - connected KW - vehicle UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85096433693&origin=resultslist&sort=plf-f&src=s&st1=Urban+Mobility+Technologies%2c+Algorithm-driven+Sensing+Devices%2c+and+Machine+Learning-based+Ethical+Judgments+in+a+Connected+Vehicle+Environment&st L2 - https://www.scopus.com/record/display.uri?eid=2-s2.0-85096433693&origin=resultslist&sort=plf-f&src=s&st1=Urban+Mobility+Technologies%2c+Algorithm-driven+Sensing+Devices%2c+and+Machine+Learning-based+Ethical+Judgments+in+a+Connected+Vehicle+Environment&st N2 - Authors develop a conceptual framework based on a systematic and comprehensive literature review on urban mobility technologies. Building their argument by drawing on data collected from AUDI AG, AUVSI, Brookings, Capgemini, CivicScience, Ipsos, Kennedys, Perkins Coie, and Pew Research Center, authors performed analyses and made estimates regarding algorithm-driven sensing devices and machine learning-based ethical judgments in a connected vehicle environment. ER -
WALKER, Amanda, Zuzana ROWLAND, Katarina FRAJTOVÁ MICHALÍKOVÁ and Lucia ŠVÁBOVÁ. Urban Mobility Technologies, Algorithm-driven Sensing Devices, and Machine Learning-based Ethical Judgments in a Connected Vehicle Environment. \textit{Contemporary Readings in Law and Social Justice}. New York, USA: Addleton Academic Publishers, 2020, vol.~12, No~2, p.~34-42. ISSN~1948-9137. Available from: https://dx.doi.org/10.22381/CRLSJ12220204.
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