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The Use of Predictive Analytics in Regulation: An Explosive Mix?

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Carnegie Mellon University

220 Victoria Square

Torrens Building

Adelaide, SA 5000

Australia

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An Executive Workshop 24 & 25 October 2018 Adelaide Australia


Carnegie Mellon University’s two-day workshop in Adelaide explores this new minefield for regulators and policy makers.

The delivery of public services is increasingly using descriptive analytics of big data but its application in the public sector is proving to be more challenging.

Predictive analytics is already making important contributions in areas such as suicide prevention and road safety, its testing ground is still in regulation.

In the US, Scotland and New Zealand, controversy over its use has raged, particularly in child protection policies. Similarly, the application of predictive analytics in the criminal justice system – namely parole and sentencing decisions – is proving contentious.

A host of emerging issues include machine bias, exaggerated predictive accuracy, ethics and the infiltration of programmers’ values into algorithm design.


Cost:
$1,200 + GST per person

Date: Wednesday 24th and Thursday 25th October 2018

Time: 8:30 am – 5:00 pm

Place: Carnegie Mellon University, Ground Floor, Torrens Building, 220 Victoria Square, Adelaide


Key issues to be addressed:

  • the potential of predictive analytics for regulators;

  • building trust and legitimacy in the new environment;

  • explainability as a substitute for transparency;

  • involving citizens in the opaque world of big data and predictive analytics; and

  • emerging regulatory frameworks for the use of predictive analytics in the public sector.


The workshop
brings together a former Chairman of the US Nuclear Regulatory Commission, two former heads of Departments of Premier and Cabinet, three senior practitioners and senior academics with practical experience at multilateral agencies as well as with national and regional government levels.


The 2-day workshop uses the CMU IT faculty to give participants hands-on experience in data mining and predictive analytics using software and a provided data set.

No prior skills are required, and all participants will be supported by CMU’s trained technical staff.


An ambitious agenda. Numbers limited strictly to 35. Enrol now.

Contact for further information: execprogram@australia.cmu.edu




Carnegie Mellon University is ranked #1 in the US for IT. Its Australian offshoot has designed this workshop to look closely into the future of the application of big data and predictive analytics in regulation, drawing upon the knowledge of leading practitioners and academics from around Australia.

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Carnegie Mellon University

220 Victoria Square

Torrens Building

Adelaide, SA 5000

Australia

View Map

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