Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance

Schedule
2020
Tuesday, January 7th
12:00 AM	Developing Fairness Rules for Talent Intelligence Management System Xi Zhang, Tianjin University Yuqing Zhao, Tianjin University Xinlin Tang, Florida State University Hengshu Zhu, Talent Intelligence Center, Baidu Hui Xiong, Business Intelligence Lab, Baidu Research Grand Wailea, Hawaii 12:00 AM - 12:00 AM Visit Site
12:00 AM	Introduction to the Minitrack on Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance Valeria Sadovykh, PwC Singapore and University of Auckland David Sundaram, University of Auckland Grand Wailea, Hawaii 12:00 AM - 12:00 AM Visit Site
12:00 AM	Re-thinking the Competitive Landscape of Artificial Intelligence Sulaiman Alsheibani, Monash University Chris Messom, Monash Yen Cheung, Monash University Grand Wailea, Hawaii 12:00 AM - 12:00 AM Visit Site
12:00 AM	The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning Mahboobeh Harandi, Syracuse University Kevin Crowston, Syracuse University Corey Jackson, University of California, Berkeley Carsten Østerlund, Syracuse University Grand Wailea, Hawaii 12:00 AM - 12:00 AM Visit Site

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