Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making
نویسندگان
چکیده
Automated decision-making systems are being increasingly deployed and affect the public in a multitude of positive negative ways. Governmental private institutions use these to process information according certain human-devised rules order address social problems or organizational challenges. Both research real-world experience indicate that lacks trust automated deploy them. The recreancy theorem argues is more likely support decisions made influenced by if administer them meet their fiduciary responsibility. However, often never informed how operate resultant institutional made. A “black box” effect reduces public's perceptions integrity trustworthiness. Consequently, administering less able assess whether just. result loses capacity identify, challenge, rectify unfairness costs associated with loss goods benefits. current position paper defines explains role responsibility within an system. We formulate system as data science lifecycle (DSL) examine implications context DSL. Fiduciary DSLs provides methodology for addressing lack employ make affecting public. posit manifests several contexts DSL, each which requires its own mitigation sources mistrust. To instantiate responsibility, Los Angeles Police Department (LAPD) predictive policing case study examined. development deployment LAPD technology identify ways failed
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ژورنال
عنوان ژورنال: Journal of social computing
سال: 2022
ISSN: ['2688-5255']
DOI: https://doi.org/10.23919/jsc.2022.0017