revised readme based on feedback
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README.md
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@@ -114,7 +114,9 @@ otherwise released publicly by the relevant court or tribunal. While the open co
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that court (and some tribunal) materials be made available to the public, there are privacy risks when these
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materials become easily and widely available. These privacy risks are particularly acute for marginalized groups,
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including refugees and other non-citizens whose personal and sensitive information is included in some of the
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documents in this dataset.
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and privacy is that in publishing the documents in this dataset, the relevant courts and tribunals prohibit
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search engines from indexing the documents. Users of this data are required to do the same.
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@@ -135,7 +137,7 @@ the Government of Canada.
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The Refugee Law Lab recognizes that this dataset -- and further research using the dataset -- raises challenging
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questions about how to balance protecting privacy, enhancing government transparency, addressing information
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asymmetries, and building technologies that leverage data to advance the rights and interests of
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refugees and other displaced people (rather than technologies that
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[enhance the power of states](https://citizenlab.ca/2018/09/bots-at-the-gate-human-rights-analysis-automated-decision-making-in-canadas-immigration-refugee-system/)
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to control the movement of people across borders).
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We also encourage users to try to avoid participating in building technologies that harm refugees and other
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marginalized groups, as well as to connect with [community organizations](https://www.migrationtechmonitor.com/ways-to-help)
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working in this space, and to [listen directly](https://www.migrationtechmonitor.com/about-us)
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### Discussion of Biases
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The dataset reflects many biases present in legal decision-making, including biases based on race, immigration status, gender, sexual orientation,
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religion, disability, socio-economic class, etc.
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### Other Known Limitations
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that court (and some tribunal) materials be made available to the public, there are privacy risks when these
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materials become easily and widely available. These privacy risks are particularly acute for marginalized groups,
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including refugees and other non-citizens whose personal and sensitive information is included in some of the
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documents in this dataset. For example, imagine a repressive government working with private data aggregators to
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collect information that is used to target families of political opponents who have sought asylum abroad.
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One mechanism used to try to achieve a balance between the open court principle
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and privacy is that in publishing the documents in this dataset, the relevant courts and tribunals prohibit
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search engines from indexing the documents. Users of this data are required to do the same.
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The Refugee Law Lab recognizes that this dataset -- and further research using the dataset -- raises challenging
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questions about how to balance protecting privacy, enhancing government transparency, addressing information
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asymmetries, and building technologies that leverage data to advance the rights and interests of
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refugees and other displaced people, as well as assisting those working with them (rather than technologies that
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[enhance the power of states](https://citizenlab.ca/2018/09/bots-at-the-gate-human-rights-analysis-automated-decision-making-in-canadas-immigration-refugee-system/)
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to control the movement of people across borders).
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We also encourage users to try to avoid participating in building technologies that harm refugees and other
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marginalized groups, as well as to connect with [community organizations](https://www.migrationtechmonitor.com/ways-to-help)
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working in this space, and to [listen directly](https://www.migrationtechmonitor.com/about-us) and learn from people who are affected by new technologies.
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We will review the use these datasets periodically to examine whether continuing to publicly release these datasets achieves
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the Refugee Law Lab's goals of advancing the rights and interests of refugees and other marginalized groups without creating
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disproportionate risks and harms, including risks related to privacy and human rights.
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### Discussion of Biases
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The dataset reflects many biases present in legal decision-making, including biases based on race, immigration status, gender, sexual orientation, religion, disability, socio-economic class, and other intersecting categories of discrimination.
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### Other Known Limitations
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