Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4095
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dc.contributor.authorRegana, Sowrya-
dc.date.accessioned2022-11-09T05:03:09Z-
dc.date.available2022-11-09T05:03:09Z-
dc.date.issued2020-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4095-
dc.description.abstractThe fast paced and multi directional development of AI applications is supporting humans in areas ranging from buying a simple toothbrush to sending reusable spacecrafts into the space. As AI is being increasingly adopted in crucial and sensitive applications, it raises the need to study about the biases that these systems bring to the table. Recent times have seen significant increase in the examples of AI systems reflecting or exacerbating machine biases, from racist facial recognition to sexist natural language processing. Recently, American Civil Liberty Union filed a case against Detroit Police for falsely arresting an African American due to mis-identification attributed to its facial recognition software.en_US
dc.language.isoen_USen_US
dc.publisherStudents of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcuttaen_US
dc.relation.ispartofseriesVol.1;-
dc.subjectAIen_US
dc.subjectAmerican Civil Liberty Unionen_US
dc.subjectIBM Researchen_US
dc.subjectPolicy Makersen_US
dc.subjectDemographic Parityen_US
dc.subjectEqualized Oddsen_US
dc.subjectEqual Opportunityen_US
dc.titleThe world is not fAlren_US
dc.typeArticleen_US
Appears in Collections:AINA 1.0 - Volume 1 Edition 2019-20

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