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Governance, Ethics and Regulation of AI

Build an understanding of AI risk with this digital ethics and governance short course from UTS Open. You’ll explore the use of AI in business and community contexts and explore the laws, standards and regulatory initiatives that are designed to protect users from digital hazards.

About this course

As artificial intelligence (AI) systems become increasingly ubiquitous, digital economy professionals must grapple with the resulting ethical risk. This UTS Open short course will prepare you to identify the challenges of AI usage in community and business contexts, as well as to explore the ethical, governance and regulatory frameworks designed to combat them.

You’ll explore:

  • The laws and governance frameworks required to manage AI in the digital economy
  • Australian AI regulations and European compliance models
  • standards for data records management
  • The importance of including ethical requirements in AI project contracts
  • The inclusion of consumer law protections in new regulatory initiatives for AI systems.
  • How to protect your organisation from regulatory and reputation risk when using AI.

Key benefits of this course

This short course has been designed to give participants:

  • insights into protecting organisations from major regulatory risks and reputational damage
  • an understanding of ethical risks in this area and
  • an update from the Australian Competition and Consumer Commission (ACCC) on current and potential regulatory initiatives.
  • CPD points: For NSW lawyers seeking to include this study towards their legal Continuing Professional Development requirements, note that completion of this short course may count as 5 CPD units (one legal CPD unit per hour).


Full price: $484 (GST-free)*

*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

COVID-19 response 

Additional course information

Course structure and learning objectives

Course structure

9:00am: Welcome and Introduction

Chair: Professor David Lindsay, UTS Law

9:10am: Identification of risks and threats from AI

Speaker:  Edward Santow, Industry Professor – Responsible Technology, UTS Centre for Social Justice and Inclusion; formerly Australia’s Human Rights Commissioner

  • Ethics and human rights
  • Regulatory framework
  • Good governance and human dignity, privacy, non-discrimination
  • Consumer and workers’ rights, protection of minorities and children

10:00am: Developing standards for AI applications

Speaker: Ian Oppermann, Associate Industry Professor, UTS Faculty of Engineering & Information Technology; Chief Data Scientist NSW

  • Data collection and training validation
  • Social scoring and deep fakes
  • Data shift purpose shift
  • Contracting for AI: training and validation; iterative development – risk of under specification
  • Privacy and purpose of collection – repurposing data.

10:50am: Morning tea break (15 mins)

11:05am: Role and Capacity of ACCC


Jane Lin General Manager of the ACCC Data and Intelligence Unit

Sally Foskett, Director of the ACCC Strategic Data Intelligence Unit

  • Developing the capacity to open the black box
  • Protection of consumer rights
  • Identification of bias and discrimination in code or data

11:55am: Regulation of AI in the European Union (EU)

Speaker: Nick Abrahams, Global co-leader digital transformation practice, Norton Rose Fulbright

  • What AI is within the scope of the EU Regulation
  • How to classify AI under the Regulation
  • Who is regulated, and what are the obligations?
  • Impact on AI lifecycles
  • EU governance structures
  • Enforcement and penalties
  • Data and ethics under the Regulation
  • Contractual implications for AI supply chains

12:35pm: Questions from the audience

12:45pm: Close

Course learning objectives

This short course will equip participants with an awareness of:

  • The ethical risks posed by AI systems;
  • The laws and governance needed to manage AI systems; and
  • Current and proposed national and international regulatory initiatives.



This course will be facilitated online using Zoom video conferencing with course materials provided via the UTS Canvas Learning Management System. You will need:

  • Access to a computer or device with a reliable internet connection
  • Operating system with a web browser compatible with the Canvas LMS
  • Speakers or headphones for audio 
  • Microphone and video camera functionality (optional but recommended).


Discounts are available for this course as follows:  

  • UTS alumni and current students: 10% discount with voucher code: Lawalumni
  • UTS staff: 10% discount (see below)
  • 2-4 enrolments from the same organisation: 10% discount
  • 5 or more enrolments from the same organisation: 15% discount

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.  

UTS Staff only: How to enrol and obtain your UTS staff discount  

Please contact the team at  to clarify payment options and the 10% staff discount code.

Multiple enrolments from the same organisation

To take up this offer, email with:

  • Your organisation’s name
  • The course name and date 
  • The number of people you’ll be enrolling (minimum of 5 participants).

How to apply your discount voucher 

  • If you are eligible for a UTS alumni or student discount, please ensure you have provided your UTS student number in your UTS Open Profile(under “A bit about you”). If you are an alumni and have forgotten your UTS student number, email with your full name, UTS degree and year of commencement.  
  • 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 course has been designed for technical, legal, human rights and digital economy professionals from the private, government and not-for-profit sectors. This includes:

  • Data and AI project professionals, managers and CIOs
  • Risk and compliance managers and professionals
  • In-house legal teams and corporate counsel
  • Digital economy lawyers
  • Legal, risk and compliance officers
  • AI and IT consultants and data specialists
  • Non-executive directors
  • C-suite leaders responsible for AI risk
  • General legal practitioners


08 June




3.45 hrs

Meet the Experts

Professor David Lindsay

Professor David Lindsay

Professor David Lindsay joined UTS: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.

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Edward Santow

Edward Santow
Industry Professor, Responsible Technology

Edward Santow is an Industry Professor – Responsible Technology at UTS. He will lead a major UTS initiative to build Australia’s strategic capability in artificial intelligence and new technology. He supports 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.

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Dr Ian Oppermann

Dr Ian Oppermann
Chief Data Scientist NSW, Industry Professor UTS FEIT

Dr Ian Oppermann is the NSW Government’s Chief Data Scientist working within the Department of Customer Service, and Industry Professor with UTS FEIT. Ian has 27 years’ experience in the ICT sector producing outcomes that have impacted hundreds of millions of people globally.

Ian is a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data”, broadband-enabled services and the impact of technology on society. He holds an MBA from the University of London and completed a PhD in Mobile Telecommunications with the University of Sydney.

Ian is a Fellow of each the Institute of Engineers Australia, the Institute of Electrical and Electronics Engineers, and the Australian Academy of Technological Sciences and Engineering.

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Jane Lin

Jane Lin
General Manager, Data & Intelligence, ACCC

Jane Lin is the ACCC’s General Manager of Data & Intelligence. Prior to this she has worked in enforcement and intelligence roles within the ACCC for over 15 years, investigating and litigating consumer and competition matters.

She has also worked as a Competition Policy Advisor for Ofcom, the UK’s communications regulator, and has qualifications in law, economics and political economy.

In her current role, Jane leads the ACCC’s Data and Intelligence branch which incorporates four in-house teams: the Strategic Data Analysis Unit, ACCC Infocentre, Legal Technology Services and Intelligence teams. The branch supports the ACCC to meet its objectives by collecting and using data and intelligence to inform strategic decision-making, providing specialist advice on data analysis and eDiscovery, advancing evidence handling procedures, data governance, and developing tools and sources.

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Sally Foskett

Sally Foskett

Sally Foskett is a director in the ACCC’s specialist data unit, which applies analytical techniques to inform decisions about competition and consumer issues across the Australian economy.

Increasingly, these techniques include the analysis of algorithms – particularly in the digital sphere. The ability to understand how algorithm-driven decisions are made is critical for regulators seeking to assess the impact of those algorithms, and to hold algorithm implementers to account for any associated breaches of the law.

A data scientist with legal qualifications, Sally has worked in regulation and law enforcement for over a decade. She specialises in building analytical capability to complement more traditional investigative methodologies.

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Nick Abrahams

Nick Abrahams
Global Co-leader, Digital Transformation Practice Norton Rose Fulbright Australia

Nick Abrahams is a corporate technology lawyer based in Sydney. Nick is the global co-leader of the digital transformation practice for Norton Rose Fulbright. Nick won the 2020 Financial Times Asia Pacific Legal Innovator of the Year Award.

Nick regularly advises on tech M&A, IT procurement and data privacy/cyber-security matters. He also assists in-house counsel teams with innovation projects.

He is heavily involved in the technology sector as a lawyer, advisor, non-executive director, entrepreneur and investor. He has worked on over AU$3bn of TMT-related transactions globally since 2012. His group has won the Australian Technology Law Firm of the Year Award. Nick co-created the world's first AI-enabled privacy chatbot (built on IBM Watson) and he co-founded Australia's leading online legal service, LawPath.

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Book a session

Wed 08 Jun 2022 -
Wed 08 Jun 2022
Expert: Professor David Lindsay, Edward Santow, Dr Ian Oppermann, Jane Lin, Sally Foskett, Nick Abrahams
  • This online course will be delivered via facilitated Zoom sessions, with materials provided via Canvas LMS.
  • Online
  • 1 session, 3.45 hours total

Enrolments are scheduled to close on 7 June 2022, at 12.00pm (AEDT).

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