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Articles 1 - 6 of 6
Full-Text Articles in Computer Law
Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
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
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/.
Siri-Ously 2.0: What Artificial Intelligence Reveals About The First Amendment, Toni M. Massaro, Helen Norton, Margot E. Kaminski
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
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 …
The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
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.
Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart
Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart
Publications
No abstract provided.