BEGIN:VCALENDAR
PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260415T114715Z
DTSTART;TZID=Australia/Melbourne:20250328T140000
DTEND;TZID=Australia/Melbourne:20250328T153000
SUMMARY:In Defense of Algorithmic Governance
UID:20260416T180612Z-iCalPlugin-Grails@philevents-web-f5d4878dd-x5n6c
TZID:Australia/Melbourne
LOCATION:Monash Clayton Campus\, Melbourne\, Australia\, 3800
DESCRIPTION:<p>Join Zoom meeting:</p>\n<p>https://monash.zoom.us/j/86351045263?pwd=1gHMLhmDnXiFJIV0Jl8s6GxhgBgylb.1&nbsp\;</p>\n<p>Meeting ID: 863 5104 5263 // Passcode: 184791</p>\n\n<p>Abstract: Government bureaucracies routinely make decisions about individual cases: whether to grant an applicant benefits\, whether to investigate a business for rule-breaking\, or what costs to impose on a convict for a crime. In the twentieth century\, this was all done by individual human decision-makers: caseworkers\, inspectors\, judges. Now\, it is increasingly done by algorithms. Scholars have been largely critical of this change. In this paper I defend it. My main novel line of argument is that using algorithms to make decisions reduces domination. It replaces the tyranny of street-level bureaucrats with the non-dominating influence of algorithms. Additionally\, such algorithms often reduce everyone&rsquo\;s risk of getting their rights violated in public administration. I also address the concerns that such algorithms violate people&rsquo\;s rights to explanation\, that they inadmissibly rely on statistical evidence\, and that they are discriminatory. The result is a general defense of algorithmic governance.&nbsp\;</p>
ORGANIZER;CN=Sandra Leonie Field:
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