Skip to main content

AI and Data Integrity



10 November




12 hrs


12 hrs

Make an enquiry

Have a question?

Meet the experts

A/Prof. Sam Ferguson

A/Prof. Sam Ferguson
Associate Dean (Teaching & Learning), UTS FEIT School of Computer Science

Sam is an Associate Professor within the UTS School of Computer Science. He is currently undertaking an ARC Linkage project on creative coding and multiplicitous media, and has collaborated with industry in many previous projects. Sam has more than 80 publications in areas as diverse as spatial hearing and loudness research, to datasonification, emotion, and tabletop computing, and has taught a wide variety of subjects within the Interaction Design discipline. His research focuses on sound and music and its relationship with creativity and human experience, in contexts such as installation art, creative coding and machine learning, as well as focusing on cognitive science. Sam also serves as the Associate Dean (Teaching & Learning) of the School of Computer Science, part of the UTS Faculty of Engineering and Information Technology (FEIT).

More Less

Dr Evana Wright

Dr Evana Wright
Senior Lecturer and Director of Academic Programs UTS Law

Evana is a Senior Lecturer for the UTS Faculty of Law researching in the fields of intellectual property, the protection of Indigenous traditional knowledge, as well as the regulation of technologies such as IoT devices and databases.

Evana was admitted as a legal practitioner in the Supreme Court of NSW in 2006 and has previously worked as an in-house legal counsel in Australia and Silicon Valley for major IT corporations and in an ICT research and development incubator.

Prior to becoming a Lecturer in 2018, Evana was a Research Fellow in the Faculty working on the ARC Linkage Project Garuwanga: Forming a Competent Authority to protect Indigenous knowledge. As a PhD scholar, she held the Quentin Bryce Law Doctoral Research Scholarship and Teaching Fellowship.

More Less

Dr Kristopher Wilson

Dr Kristopher Wilson
Lecturer UTS Law

Kris is a Lecturer in the Faculty of Law University of Technology Sydney researching in the fields of cybersecurity, computer-related crime and Indigenous traditional knowledge in a digital context. His doctoral thesis examined the structure and operation of data access offences in the context of criminalisation theory and the evolving nature of the 'use' of computing technologies. For the duration of his doctoral work Kris was a Charlie Perkins, Roberta Sykes, and Chevening Scholar.

More Less

Professor David Lindsay

Professor David Lindsay
Professor UTS Law

David joined UTS Faculty of Law in 2018 after previously working at Monash University. David is an expert in law and technology, and is widely published in the areas of copyright, privacy, cyberlaw and communications law.

He is the author of International Domain Name Law (Hart, 2007) and co-author of Copyright's Public Domains (CUP, 2018). At UTS he teaches Equity and Trusts, Copyright and Designs, and is the convenor of the Applied Project in Law, Innovation and Technology. David is General Editor of the Australian Intellectual Property Journal and a board member of the Australian Privacy Foundation.

More Less

Professor Patrick Fair

Professor Patrick Fair
Principal, Patrick Fair Associates

Patrick is a commercial lawyer with extensive experience and recognised expertise in in intellectual property, competition law, telecommunications and privacy law. He advises clients in the telecommunications industry including mobile operators, digital service providers and satellite service providers.

Patrick chairs the Communications Security Reference Panel at the Communications Alliance, comprising representatives from across the Australian telecommunications industry. As chair of the Panel, Patrick has played a significant role in the consideration and review of, and industry response to, major telecommunications regulatory reforms including the introduction of mandatory data retention rules and the Telecommunications and Other Legislation Amendment (Assistance and Access) Act 2018 (Cth), also known as the Encryption Bill.

Patrick is an Adjunct Professor at the School of Information Technology at Deakin University and a member of the IoT Alliance of Australia Security Workstream.

More Less

Edward Santow

Edward Santow
Director, Policy and Governance, UTS Human Technology Institute

Edward is an Industry Professor – Responsible Technology at UTS and leads the Human Technology Institute (HTI) with Prof Nicholas Davis and Prof Sally Cripps. This major UTS initiative is building a future that applies human values to new technology, supporting Australian business and government in responsible innovation - by developing and using AI that is powerful, effective and fair.

Ed was previously Australia’s Human Rights Commissioner (2016-2021), and led the most influential project worldwide on the human rights and social implications of AI. Before that he was Chief Executive of the Public Interest Advocacy Centre, a leading non-profit organisation that promotes human rights. He was also previously a Senior Lecturer at UNSW Law School, a research director at the Gilbert + Tobin Centre of Public Law and a solicitor in private practice.

More Less

Peter Leonard

Peter Leonard
Principal, Data Synergies Pty Limited; Professor of Practice, University of NSW Business School

Based in Sydney, Australia, Peter is a data, content and technology business consultant and lawyer, advising data-driven businesses and government agencies. Peter is principal of Data Synergies and a Professor of Practice at UNSW Business School (Information Systems and Business and Taxation Law). 

Peter chairs the IoTAA’s Data Access, Use and Privacy work stream, the Law Society of New South Wales’ Privacy and Data Committee and the Australian Computer Society’s AI Ethics Technical Committee. He serves on a number of corporate and advisory boards, including of the NSW Data Analytics Centre. Peter was a founding partner of Gilbert + Tobin, now a large Australian law firm. Following his retirement as a partner in 2017, he continues to assist Gilbert + Tobin as a consultant.

More Less

Linda Przhedetsky

Linda Przhedetsky
Associate Professor

Linda is an Associate Professor - Strategic AI, at the Human Technology Institute, where she leads the Skills Lab. An experienced policymaker, researcher, and advocate, she is passionate about helping key decision-makers to address the most pressing challenges posed by emerging technologies. Linda has worked across government, academia, civil society, and non-profit organisations, and is passionate about ensuring that human values are embedded in AI systems across every sector.

Linda is concurrently undertaking a PhD, specialising in the ethical development, regulation and use of artificial intelligence (AI). She is a Research Fellow at the Gradient Institute, an independent non-profit research institute that builds ethics, accountability and transparency into AI systems, and is a co-author of their 2019 White Paper, ‘Practical Challenges for Ethical AI.’

More Less

Artificial intelligence (AI) and machine learning are transforming business, government, and the future of work. Build your awareness of the key legal, ethical and governance issues that should be considered in using and developing these critical emerging technologies.

About this course

This course delivers focused, relevant and targeted knowledge and skills to professionals working on data management, data science and AI projects, including those in leadership roles.

You will gain insights into the legal and ethical frameworks which are essential for quality digital development across all sectors. Only those equipped with knowledge of the digital legal landscape can provide their employers, collaborators, and the community with assurance that their claims are made with integrity.

Developing AI in line with both legal and ethical frameworks is essential to preserve community standards and values. During this course, you will be given an overview of relevant privacy and data breach obligations.  Concepts of personal information and confidentiality are then explained with respect to the Privacy Act 1988 (Cth).

Understand the potential risks raised by AI and how the overarching consumer, corporate and common law obligations may be applied to:

  • protect disadvantaged persons and entities
  • avoid discrimination and misleading or deceptive conduct, and
  • avoid injury and harm. 

Key benefits of this course

This course has been designed to:

  • Introduce and explain key concepts, including Artificial Intelligence (AI), ‘Big Data’, data privacy, confidential information, Intellectual Property Rights (IPRs), and cybersecurity
  • Immerse you in the Australian laws and governance frameworks required to manage AI in the digital economy, whilst also touching on relevant overseas developments.
  • explore ethical obligations for sharing data and using AI in various sectors.


Full price: $1,500 (GST free)*

Special price: $1,300 (GST free)* Special early bird price ends on Thursday 5 October 2023

*Price subject to change. Please check price at time of purchase. 

Discounts are available for this course. For further details and to verify if you qualify, please check the Discounts section under Additional course information.

Enrolment conditions

Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

Additional course information

Course outline

The November 2023 offering of this course will be delivered via Zoom in 3 x 4-hour sessions over three consecutive Fridays.

Topic 1 – Introduction to Big Data, AI & Data Privacy

Friday 10 Nov 2023, 9.00am to 1.00pm AEDT (incl. 20 mins breaks) 

9.00am to 10.00am - Introduction to Big Data and AI

Speakers: Evana Wright, UTS Faculty of Law, and A/Professor Sam Ferguson, UTS Faculty of Engineering and IT (FEIT).

  • What is ‘Data’?
  • What is ‘Big Data’?
  • What is ‘Artificial Intelligence’ (AI)?
  • Introduction to integrity/ethical issues arising from data analytics, big data and AI
  • Survey of main laws and regulations that apply to data, big data and AI
  • Intellectual Property Rights (IPRs), AI & data
  • What are the challenges in applying laws and regulation to data, big data and AI?

10.00am – break 10 mins.

10.10am to 11.45am - Introduction to regulatory framework

Speaker: Kris Wilson, UTS Law

  • Introduction to Australian Data Privacy law
  • Introduction to Privacy Act 1988 (Cth) (PA)
  • ‘Personal information’
  • Introduction to the Consumer Data Right (CDR) service

11.45am – break 10 mins.

11.55am to 12.50pm - Privacy Act enforcement and global guidance

Speaker: Professor David Lindsay, UTS Law 

  • PA enforcement regime – recent Office of the Australian Information Commissioner (OAIC) action
  • Challenges in applying the PA to big data practices and data analytics – tackling assumptions of publicly-available private information
  • PA review report – key reforms that may go beyond the ‘gold standard’ of the European Union’s (EU) General Data Protection Regulation (GDPR)
  • Confidential information and data privacy – quantifying confidentiality and privacy once it is lost
  • Balancing possibility with protection – individual rights and the greater good in a post-truth world.

12.50pm – Questions

1.00pm Close.


Topic 2 – Security & Sharing Data

Friday 17 Nov 20239.00am to 1.00pm AEDT (incl. 15 mins breaks) 

9.00am to 10.45am - Cybersecurity and ethics

Speaker: Professor Patrick Fair, Patrick Fair Associates   

  • What is ‘cybersecurity’ and ‘data security’?
  • What are security threats?
  • Security of Critical Infrastructure Act 2018 (Cth) (as amended)
  • The ‘Essential Eight’ and Information Security Manual (ISM) cybersecurity framework
  • Ethical obligations for sharing data
  • The ‘Five Safes’ framework: a data confidentiality guide.

10.45am – break 15 mins.

11:00am to 12.50pm - Governance frameworks

Speaker: Kris Wilson, UTS Law

  • Legal frameworks
  • Data security under the Privacy Act 1988 (Cth)
  • Data breach notification regime
  • Introduction to GDPR.

12.50pm – Questions

1.00pm Close.


Topic 3 – Law, Governance & Regulation of AI

Friday 24 Nov 2023 (9.00am to 1.00pm AEDT, incl. 15 mins breaks) 

9.00am to 9.55am - Aims and ethics of AI and data regulation

Speaker: Professor Ed Santow, Industry Professor – Responsible Technology, and Director, Policy and Governance, UTS Human Technology Institute, formerly Australia’s Human Rights Commissioner

  • AI in the government sector: administrative law
  • AI and anti-discrimination law.

9.55am – break 5 mins.

10.00am to 10.55am - AI governance after Large Language Models (LLMs)

Speaker: Peter Leonard, Principal, Data Synergies and Professor of Practice, UNSW Business School

  • Beyond ethical principles, to assuring responsible AI-enabled decisions
  • Team-based assessment of risks and harms
  • Roles and responsibilities in AI assurance  
  • Evaluating AI decision provenance
  • Is governance of generative machine learning (ML) a novel challenge?  

10.55am – break 5 mins.

11.00am to 11.55am - Risks and current challenges with AI and Data

Speaker: Linda Przhedetsky, Human Technology Institute, UTS

  • Risks and challenges with AI and data
  • Risks of applications of AI in the rental market.

11.55am – break 5 mins.

12.00pm to 12.55pm - Principles to practice

Speaker: Evana Wright, UTS Law 

  • AI in the private sector - liability issues
  • Global governance framework
  • AI ethics principles - a voluntary framework of the Department of Industry, Science and Resources (DISER) (Cwth)
  • New EU AI Regulation.

12.55pm – Questions

1.00pm Close.

Learning objectives

By the end of this CPD short course, participants should be able to:

  • Identify the risks and challenges posed by AI and big data
  • Understand the various applicable legal and ethical frameworks for AI including privacy and data breach obligations.



  • To complete this online course, you will need a personal computer with adequate internet access and sufficient software and bandwidth to support web conferencing. You will also require an operating system with a web browser compatible with Canvas and Zoom.


Discounts are available for this course as follows:

  • 10% discount for 2-4 participants from the same organisation
  • 15% for 5+ participants from the same organisation
  • 10% discount for UTS alumni and staff

Discounts cannot be combined and only one discount can be applied per person per course session. Discounts can only be applied to the full price. Discounts cannot be applied to any offered special price. 

Multiple enrolments from the same organisation

To take up this offer, email with

  • Your organisation’s name,
  • The course name and date and
  • The number of people you’ll be enrolling (minimum of 2 participants).

UTS alumni and staff

Please contact the team at with your student or staff number to request your discount voucher code. 

If you have forgotten your UTS student number, email with your full name, UTS degree and year of commencement.  

How to apply your discount voucher 

  • Add this course to your cart 
  • Click on "View Cart" (blue shopping trolley at top right of screen). You will need to sign in or sign up to UTS Open 
  • Enter your eligible code beneath the “Have a code?” prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 

Contact us

Who is this course for?

This short course is suitable for, but not limited to:

  • Data and AI professionals, including coders and data managers
  • Data scientists
  • IT project leaders
  • CIOs
  • Senior public sector administrators and project leaders
  • Senior managers and leadership teams
  • IT engineers

Book a session

Fri 10 Nov 2023 -
Fri 24 Nov 2023
Expert: A/Prof. Sam Ferguson, Dr Evana Wright, Dr Kristopher Wilson, Professor David Lindsay, Professor Patrick Fair, Edward Santow, Peter Leonard, Linda Przhedetsky
  • Online via Zoom. Click on the underlined sessions and hours total link below to reveal specific session details.
  • Online
  • 3 sessions, 12 hours total

Enrolments close Thursday 2 November 2023 at 11.59pm AEDT or when all places have been filled, whichever occurs first.

We use cookies

We use cookies to help personalise content, tailor and measure ads, plus provide a safer experience. By navigating the site, you agree to the use of cookies to collect information. Read our Cookie Policy to learn more.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.