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Machine-learning algorithms are transforming large segments of the economy as they fuel innovation in search engines, self-driving cars, product marketing, and medical imaging, among many other technologies. Alarm bells sounding over the diffusion of artificial intelligence throughout the private sector only portend greater anxiety about digital robots replacing humans in the governmental sphere.

A few administrative 105 in binary trading trading vs daycare have already begun to adopt this technology, while others have clear 105 in binary trading trading vs daycare in the near term to use algorithms to shape official decisions over both rulemaking and adjudication. It is no longer fanciful to envision a future in which government agencies could effectively make law by robot, a prospect that understandably conjures up dystopian images of individuals surrendering their liberty to the control of computerized overlords.

Should society be alarmed by governmental use of machine-learning applications? The platform economy raises important new questions about public accommodation laws. Such laws originally were enacted to prohibit establishments open to the public—for example, hotels, restaurants, taxi services, and retail businesses—from discriminating on the basis of characteristics such as race, color, religion, and national origin.

Platform economy businesses are functional substitutes for these traditional public accommodations. Yet existing public accommodation laws are not always a good fit for the unique features of the platform economy. This Article is the first to argue that public accommodation laws must evolve to address race discrimination in the platform economy. The current tax relationship between the United States and the European Union is tense.

Approximately one-quarter of undergraduate students are parents. Most collegiate programs, however, are not prepared to meet the unique needs of student-parents. Many postsecondary institutions with residential campuses have policies that explicitly or implicitly exclude student-parents from living in university-provided housing.

When housing for student-parents is provided, there are often insufficient units to serve all student families. Although university-provided housing is often expensive, it may be less expensive than off-campus alternatives, especially in destination cities.

Additionally, universities often tout the benefits university-provided housing offers students. This theory is the foundation of U. It has been invoked in every court opinion on the subject for the past three decades. Yet, this Article argues that the theory is an unqualified failure. Because it fails to do what a theory must, which is to explain 105 in binary trading trading vs daycare law and provide answers to unsettled law that are intuitively appealing.

Faced with too-short or nonexistent maternity leaves, inflexible work schedules, and the soaring costs of childcare in the United States, many new mothers temporarily leave the workforce to care for their young children. But mothers that try to return to work may discover that it is difficult to do so, as employers have been shown to be 105 in binary trading trading vs daycare likely 105 in binary trading trading vs daycare hire mothers than others.

A mother that does reenter may find that even short periods out of work cost sometimes far more than the income foregone during her intended time out and may result in a reduction in her overall earning potential, retirement, disability, and Medicare benefits. This may contribute to severe economic hardships among divorced mothers and their children, the underrepresentation of women in high-level leadership positions, and a wage gap between mothers and others, to name a few problems.

Category best binary options indicator 2015 Article examines a relatively recent addition to the institutional architecture of financial regulation in the United States:

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