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Content type: Long Read
Over the last two decades we have seen an array of digital technologies being deployed in the context of border controls and immigration enforcement, with surveillance practices and data-driven immigration policies routinely leading to discriminatory treatment of people and undermining peoples’ dignity.
And yet this is happening with little public scrutiny, often in a regulatory or legal void and without understanding and consideration to the impact on migrant communities at the border and…
Content type: Examples
In October 2018, the Singapore-based startup LenddoEFL was one of a group of microfinance startups aimed at the developing world that used non-traditional types of data such as behavioural traits and smartphone habits for credit scoring. Lenddo's algorithm uses numerous data points, including the number of words a person uses in email subject lines, the percentage of photos in a smartphone's library that were taken with a front-facing camera, and whether they regularly use financial apps on…
Content type: Examples
In 2017, US Immigration & Customs Enforcement (ICE) announced that it would seek to use artificial intelligence to automatically evaluate the probability of a prospective immigrant “becoming a positively contributing member of society.” In a letter to acting Department of Homeland Security Secretary Elaine Duke, a group of 54 concerned computer scientists, engineers, mathematicians, and researchers objected to ICE’s proposal and demanded that ICE abandon this approach because it would be…