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Full-Text Articles in Business
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.
Law And Authors: A Legal Handbook For Writers (Introduction), Jacqueline D. Lipton
Law And Authors: A Legal Handbook For Writers (Introduction), Jacqueline D. Lipton
Book Chapters
Drawing on a wealth of experience in legal scholarship and publishing, Professor Jacqueline D. Lipton provides a useful legal guide for writers whatever their levels of expertise or categories of work (fiction, nonfiction, academic, journalism, freelance content development). This introductory chapter outlines the key legal and business issues authors are likely to face during the course of their careers, and emphasizes that most legal problems have solutions so law should never be an excuse to avoid writing something that an author feels strongly about creating. The larger work draws from case studies and hypothetical examples to address issues of copyright …
Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen
Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen
All Faculty Scholarship
Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply …
Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky
Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky
WCBT Faculty Publications
We live in a world of data collection where organizations and marketers know our income, our credit rating and history, our love life, race, ethnicity, religion, interests, travel history and plans, hobbies, health concerns, spending habits and millions of other data points about our private lives. This data, mined for our behaviors, habits, likes and dislikes, is referred to as the “creep factor” of big data [1]. It is estimated that data generated worldwide will be 1.3 zettabytes (ZB) by 2016. The rise of computational power plus cheaper and faster devices to capture, collect, store and process data, translates into …
Systematic Ict Surveillance By Employers: Are Your Personal Activities Private?, Arlene J. Nicholas
Systematic Ict Surveillance By Employers: Are Your Personal Activities Private?, Arlene J. Nicholas
Faculty and Staff - Articles & Papers
This paper reviews the various methods of information and communications technology (ICT) that is used by employers to peer into the work lives and, in some cases, private lives of employees. Some of the most common methods – such as computer and Internet monitoring, video surveillance, and global positioning systems (GPS) – have resulted in employee disciplines that have been challenged in courts. This paper provides background information on United States (U.S.) laws and court cases which, in this age of easily accessible information, mostly support the employer. Assessments regarding regulations and policies, which will need to be continually updated …
Big Data Vs. Big Brother: The Fine Line Of Personalization And Privacy, Wanda Inthavong, John A. Schibrowsky
Big Data Vs. Big Brother: The Fine Line Of Personalization And Privacy, Wanda Inthavong, John A. Schibrowsky
McNair Poster Presentations
Purpose – To review privacy issues surrounding Big Data and creating recommendations to aid in resolving these issues.
Approach - Reviews current literature regarding Big Data and its implication on privacy.
Findings – Regulation changes/additions not as beneficial as some researchers believe. Creating & streamlining one universal regulation to better protects consumer privacy information may gain back consumer confidence.
A Contractual Approach To Data Privacy, Stephanos Bibas
A Contractual Approach To Data Privacy, Stephanos Bibas
All Faculty Scholarship
No abstract provided.