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Articles 1 - 5 of 5
Full-Text Articles in Business
The Impact Of Automation On Student's Career Decision, Muhammad Hizkil Imran, Arshveen Ramesh, T Rudran
The Impact Of Automation On Student's Career Decision, Muhammad Hizkil Imran, Arshveen Ramesh, T Rudran
Introduction to Research Methods RSCH 202
We study the impact of automation on employment and students’ career paths, by obtaining credible datasets from the Government of Singapore. The manufacturing and construction sectors were the most affected industries over the last 15 years. Along with the limited studies, we propose a survey to quantify and analyse students’ views on automation. The shift in employment rate in various sectors due to automation was found to be a contributing factor for students’ career decisions. Based on our findings, we observed that more students are acknowledging the impact of automation and finding the need for job securities and opportunities by …
Artificial Intelligence And Big Data Challenges In Smart Cities, Arbër Perçuku
Artificial Intelligence And Big Data Challenges In Smart Cities, Arbër Perçuku
UBT International Conference
Smart city combines technologies with information to facilitate and improve daily life of citizens on different areas like transport, healthcare, education, environment impact, energy save and other. Big Data as technology to collect, store and analyze massive amounts of data, and Artificial Intelligence to extract the values from those data, have received a lot of attention recently. The aim of this paper is to discuss and highlight the challenges that engineers, scientists and other stakeholders can face practically in the development of smart city, and to enhance the integration of both Big Data and Artificial Intelligence.
The Future Of Work Now: The Multi-Faceted Mall Security Guard At A Multi-Faceted Jewel, Thomas H. Davenport, Steven M. Miller
The Future Of Work Now: The Multi-Faceted Mall Security Guard At A Multi-Faceted Jewel, Thomas H. Davenport, Steven M. Miller
Research Collection School Of Computing and Information Systems
One of the most frequently-used phrases at business events these days is “the future of work.” It’s increasingly clear that artificial intelligence and other new technologies will bring substantial changes in work tasks and business processes. But while these changes are predicted for the future, they’re already present in many organizations for many different jobs. The job and incumbents described below are an example of this phenomenon. Steve Miller of Singapore Management University and I co-authored the story.
Cybersecurity Of Online Proctoring Systems, Ludwig Slusky
Cybersecurity Of Online Proctoring Systems, Ludwig Slusky
Journal of International Technology and Information Management
The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational control of proctored online examination. The paper discusses how administrative, physical, and technical controls can help mitigate related cybersecurity vulnerabilities of online proctoring systems (OPS). The paper considers two classes of OPS: fully automated AI-enabled systems and hybrid systems (automated AI-enabled with an expert live proctor in control). Based on the review of 20 online proctoring systems, the paper discusses methods and techniques of multi-factor authentication and authorizations, including …
Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai
Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai
All Faculty Scholarship
Policymakers in the United States have just begun to address regulation of artificial intelligence technologies in recent years, gaining momentum through calls for additional research funding, piece-meal guidance, proposals, and legislation at all levels of government. This Article provides an overview of high-level federal initiatives for general artificial intelligence (AI) applications set forth by the U.S. president and responding agencies, early indications from the incoming Biden Administration, targeted federal initiatives for sector-specific AI applications, pending federal legislative proposals, and state and local initiatives. The regulation of the algorithmic ecosystem will continue to evolve as the United States continues to search …