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Released Version of 13 April 2020
© Xamax Consultancy Pty Ltd, 2020
Available under an AEShareNet licence or a Creative Commons licence.
This document is at http://www.rogerclarke.com/DV/DEDP-20.html
This 2-hour segment addresses important issues arising from data analysis. It comprises two lectures, delivered at two different stages of the semester-unit:
The examinable materials comprise the following:
The Further Reading is not examinable. It's provided in order to enable you to 'drill down' on topics you're particularly interested in, or need to understand more about.
Week 6 - Fri 24 Apr 09:30-11:00 - Coombs Theatre
The slides are available in PDF for viewing, and PDF-4up for printing
The video-presentation is available in mp4 format
TOPIC OUTLINE
1. Introduction
2. Ethics in Data Science / Data Analysis
3. Applied Ethics
s.4.1 Information Infrastructure in 2018, at http://www.rogerclarke.com/II/IIC18.html#II18
The Introduction section to 'Ethics', International Encyclopaedia of Philosophy, at https://www.iep.utm.edu/ethics/
Australian Computer Society (ACS), at http://www.acs.org.au/content/dam/acs/rules-and-regulations/Code-of-Professional-Conduct_v2.1.pdf
s.4.2 Data Harm, at http://www.rogerclarke.com/II/DRC.html#GH
Centrelink's Big Data 'Robo-Debt' Fiasco of 2016-20, at http://www.rogerclarke.com/DV/CRD17.html
s.2.5 Data Scrubbing, at http://www.rogerclarke.com/EC/BDQAS.html#ChDS
s.2.7 Decision Transparency (2016), at http://www.rogerclarke.com/EC/BDQAS.html#ChDS
Guidelines for the responsible application of data analytics (2018), at http://www.rogerclarke.com/EC/GDA-Tab2E.pdf
What Drones Inherit from Their Ancestors, at http://www.rogerclarke.com/SOS/Drones-I.html
Cyborgs Today (2017), at http://www.rogerclarke.com/SOS/Cyborgs17.html
The remainder of 'Ethics', International Encyclopaedia of Philosophy, at https://www.iep.utm.edu/ethics/
Kinch N. (2019) 'Data Ethics in tech; Here's why it's so hard' Medium, 4 Jan 2019, at https://medium.com/greater-than-experience-design/data-ethics-in-tech-heres-why-it-s-so-hard-b3e0d8f0a108
s.4.3 Market Segmentation for Privacy-Enhancing Technologies (PETs), at http://www.rogerclarke.com/DV/UPETs-1405.html#MS
s.4.4 Risk Assessment for Whistleblowers, at http://www.rogerclarke.com/DV/UPETs-1405.html#RA
Association for Computing Machinery (ACM), at https://www.acm.org/code-of-ethics
IEEE, at https://www.ieee.org/about/corporate/governance/p7-8.html
Engineers Australia, at https://www.engineersaustralia.org.au/sites/default/files/resource-files/2020-02/828145%20Code%20of%20Ethics%202020%20D.pdf
Data Values harmed by Data Analytics (2016), at http://www.rogerclarke.com/EC/PBAR.html#Tab4
Big Data, Big Risks (2016), at http://www.rogerclarke.com/EC/BDBR.html
Doctorow C. (2017) 'Australia put an algorithm in charge of its benefits fraud detection and plunged the nation into chaos' BoingBoing, 1 Feb 2018, at https://boingboing.net/2018/02/01/dole-bludgers-under-beds.html
s.2.2 The Rationale Underlying a Decision (2014), at http://www.rogerclarke.com/SOS/Drones-I.html#CRD
s.4 The Digital Surveillance Economy, at http://www.rogerclarke.com/EC/DSE.html#DSE
'Data Science Association Code Of Professional Conduct' (2016), at http://www.datascienceassn.org/sites/default/files/datasciencecodeofprofessionalconduct.pdf
'American Statistical Association Ethical Guidelines for Statistical Practice' (2016), at https://www.amstat.org/ASA/Your-Career/Ethical-Guidelines-for-Statistical-Practice.aspx
Article on 'Guidelines for the Responsible Application of Data Analytics' (2018), at http://www.rogerclarke.com/EC/GDA.html
'Towards Responsible Data Analytics: A Process Approach' (2019), at http://www.rogerclarke.com/EC/BDBP.html
s.3, at http://www.rogerclarke.com/DV/RFED.html#DId
Lecture 1 - DISCUSSION QUESTIONS
How does IT generally, and Data Analytics in particular, contribute to:
What are your expectations about the results you are awarded by the ANU for the courses you do? In particular, what do you think about the ideas of:
What ethical issues arise from the Robo-Debt case?
Surely Centrelink should have discovered in advance that the design of the new system was highly unreasonable. But how precisely should they gave discovered that?
Companies that you deal with on the Web do the following things, in order to maximise their revenue or profit. As a shareholder, are you happy that they do these things? As a consumer, are you happy that they do these things?
Week 10 - Fri 22 May 09:30-11:00 - Coombs Theatre
The slides are avalable in PDF for viewing, and PDF-4up for printing
The video-presentation is available in mp4 format
TOPIC OUTLINE
Data and Information
Fundamentals of Information Systems, at http://www.rogerclarke.com/SOS/ISFundas.html
Knowledge, at http://www.rogerclarke.com/SOS/Know.html
Data Quality and Information Quality Factors, at http://www.rogerclarke.com/EC/BDBR.html#Tab1
Appendix 1, at http://www.rogerclarke.com/EC/SSACS.html#App1
Privacy
Introduction to Privacy, at http://www.rogerclarke.com/DV/Intro.html
Persons-at-Risk
Categories of Persons-at-Risk, at http://www.rogerclarke.com/DV/UPETs-1405.html#MS
The Life-Cycle of Personal Data
'Data Management for Data Protection (GDPR)' (Legner C. & Labadie C., 2019), at https://www.cc-cdq.ch/data-management-for-data-protection-gdpr
The Australian Privacy Principles (APPs), at https://www.oaic.gov.au/privacy/australian-privacy-principles/australian-privacy-principles-quick-reference/
The Notifiable Data Breaches scheme, at https://www.oaic.gov.au/privacy/notifiable-data-breaches/about-the-notifiable-data-breaches-scheme/
Privacy-Enhancing Technologies
Categories of PETs, at http://www.rogerclarke.com/DV/Biel15-DuD.html#P
'Privacy in a pandemic: Keep calm, and remember first principles' (Johnston, 2020), at https://www.salingerprivacy.com.au/2020/03/31/privacy-in-a-pandemic/
User-Friendly Security Solutions, ss.3 and 3.1 and Table 1, at http://www.rogerclarke.com/EC/SSACS.html#SS
Appendix 2: Baseline Security Features, at http://www.rogerclarke.com/EC/SSACS.html#App2
Data Values harmed by Data Analytics (2016), at http://www.rogerclarke.com/EC/PBAR.html#Tab4
Privacy
'What's Privacy?', at http://www.rogerclarke.com/DV/Privacy.html
The EU's General Data Protection Regulation
'What is the GDPR?', at https://gdpr.eu/what-is-gdpr/
Privacy-Enhancing Technologies
'Introducing PITs and PETs: Technologies Affecting Privacy', at http://www.rogerclarke.com/DV/PITsPETs.html
Lecture 2 - DISCUSSION QUESTIONS
Think about what you're learning in this unit, COMP2420/6420. Now give some examples from this unit of data, information, knowledge and wisdom.
The ANU gathers data about your performance in this unit of study. It makes most of it available to you. It publishes some of it on your transcript. Various people will use that data for various purposes.
Consider each of the 7 data quality and 6 information quality factors, and give examples of good quality and bad quality data and information about your performance.
Apply the concepts of threat, vulnerability, security incident, harm, asset, stakeholder and safeguard to the personal data that the ANU holds about you.
Identify a couple of examples of privacy concerns that you have, or that your friends or relatives have.
Which needs, harms and risk categories are relevant to those privacy concerns?
What circumstances might arise that would increase the levels of concern that people feel about those particular privacy issues?
In relation to the privacy concerns you've just discussed, to what extent do you think that the law provides adequate protections?
What PETs do you use?
What extra PETs should people use who face more serious risks than you do?
Roger Clarke is Principal of Xamax Consultancy Pty Ltd, Canberra. He is also a Visiting Professor in the Research School of Computer Science at the Australian National University,, and in the Cyberspace Law & Policy Centre at the University of N.S.W.
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Created: 9 March 2020 - Last Amended: 13 April 2020 by Roger Clarke - Site Last Verified: 15 February 2009
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