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Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart Jul 2017

Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Research Data

These documents underlie and are cited in this empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 409 n.123 (2017), available at http://scholar.law.colorado.edu/articles/755/.

The ZIP file contains three files: one PDF document ("Tables for Charts 1-3"), and two SPSS files ("Data Archive" and "Syntax Archive" (SPSS version 24)). The "Syntax Archive" file may be viewed in a text editor (e.g., Notepad) as well as in SPSS.


Appendix B: The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart Jul 2017

Appendix B: The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Research Data

This document, "Search Instructions for Algorithm Study," is an electronic Appendix B to, and is cited in, the empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 400 n.78 (2017), available at http://scholar.law.colorado.edu/articles/755/.


Authorship, Disrupted: Ai Authors In Copyright And First Amendment Law, Margot E. Kaminski Jan 2017

Authorship, Disrupted: Ai Authors In Copyright And First Amendment Law, Margot E. Kaminski

Publications

Technology is often characterized as an outside force, with essential qualities, acting on the law. But the law, through both doctrine and theory, constructs the meaning of the technology it encounters. A particular feature of a particular technology disrupts the law only because the law has been structured in a way that makes that feature relevant. The law, in other words, plays a significant role in shaping its own disruption. This Essay is a study of how a particular technology, artificial intelligence, is framed by both copyright law and the First Amendment. How the algorithmic author is framed by these …


Achieving American Retirement Prosperity By Changing Americans' Thinking About Retirement, Peter H. Huang Jan 2017

Achieving American Retirement Prosperity By Changing Americans' Thinking About Retirement, Peter H. Huang

Publications

There are many decisions that Americans have to make about retirement before, at, and after retirement. For example, Americans have to decide when to start saving for retirement, how much to save, how to invest those savings, when to retire, when to claim social security, and how to take required minimum distributions from 401(k) plans or Individual Retirement Accounts. Different things can go wrong at each of these decisions for different reasons. Many Americans, for various reasons, including insufficient energy, money, motivation, time, and understanding, do no retirement planning. Some Americans do some retirement planning, yet worry they are doing …


Siri-Ously 2.0: What Artificial Intelligence Reveals About The First Amendment, Toni M. Massaro, Helen Norton, Margot E. Kaminski Jan 2017

Siri-Ously 2.0: What Artificial Intelligence Reveals About The First Amendment, Toni M. Massaro, Helen Norton, Margot E. Kaminski

Publications

The First Amendment may protect speech by strong Artificial Intelligence (AI). In this Article, we support this provocative claim by expanding on earlier work, addressing significant concerns and challenges, and suggesting potential paths forward.

This is not a claim about the state of technology. Whether strong AI — as-yet-hypothetical machines that can actually think — will ever come to exist remains far from clear. It is instead a claim that discussing AI speech sheds light on key features of prevailing First Amendment doctrine and theory, including the surprising lack of humanness at its core.

Courts and commentators wrestling with free …


Every Algorithm Has A Pov, Susan Nevelow Mart Jan 2017

Every Algorithm Has A Pov, Susan Nevelow Mart

Publications

When legal researchers search in online databases for the information they need to solve a legal problem, they need to remember that the algorithms that are returning results to them were designed by humans. The world of legal research is a human-constructed world, and the biases and assumptions the teams of humans that construct the online world bring to the task are imported into the systems we use for research. This article takes a look at what happens when six different teams of humans set out to solve the same problem: how to return results relevant to a searcher’s query …


Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart Jan 2017

Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart

Publications

No abstract provided.


Entrepreneurial Administration, Philip J. Weiser Jan 2017

Entrepreneurial Administration, Philip J. Weiser

Publications

A core failing of today’s administrative state and modern administrative law scholarship is the lack of imagination as to how agencies should operate. On the conventional telling, public agencies follow specific grants of regulatory authority, use the traditional tools of notice-and-comment rulemaking and adjudication, and are checked by judicial review. In reality, however, effective administration depends on entrepreneurial leadership that spearheads policy experimentation and trial-and-error problem-solving, including the development of regulatory programs that use non-traditional tools.

Entrepreneurial administration takes place both at public agencies and private entities, each of which can address regulatory challenges and earn regulatory authority as a …


The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart Jan 2017

The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Publications

The results of using the search algorithms in Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel, and Casetext are compared. Six groups of humans created six different algorithms, and the results are a testament to the variability of human problem solving. That variability has implications both for researching and teaching research.


Health Information Equity, Craig Konnoth Jan 2017

Health Information Equity, Craig Konnoth

Publications

In the last few years, numerous Americans’ health information has been collected and used for follow-on, secondary research. This research studies correlations between medical conditions, genetic or behavioral profiles, and treatments, to customize medical care to specific individuals. Recent federal legislation and regulations make it easier to collect and use the data of the low-income, unwell, and elderly for this purpose. This would impose disproportionate security and autonomy burdens on these individuals. Those who are well-off and pay out of pocket could effectively exempt their data from the publicly available information pot. This presents a problem which modern research ethics …


Privacy And The Right To Record, Margot E. Kaminski Jan 2017

Privacy And The Right To Record, Margot E. Kaminski

Publications

Many U.S. laws protect privacy by governing recording. Recently, however, courts have recognized a First Amendment “right to record.” This Article addresses how courts should handle privacy laws in light of the developing First Amendment right to record.

The privacy harms addressed by recording laws are situated harms. Recording changes the way people behave in physical spaces by altering the nature of those spaces. Thus, recording laws can be placed within a long line of First Amendment case law that recognizes a valid government interest in managing the qualities of rivalrous physical space, so as not to allow one person’s …


Disruptive Platforms, Margot Kaminski Jan 2017

Disruptive Platforms, Margot Kaminski

Publications

No abstract provided.