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SHORT COURSE

AI and Data Integrity

$1,500.00

START DATE

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MODE

Online

DURATION

12 hrs

COMMITMENT

12 hrs

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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.

Price

Full price: $1,500 (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

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

Moderator:  Lesley Hitchens, Emerita Professor UTS  

Speakers: Dr 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 11.10am - Introduction to regulatory framework

Speaker: Dr 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

11.10am – break 10 mins.

11.15am to 12.50pm – 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.

12.50pm – Questions

1.00pm Close.

 

 

Topic 2 – Security & Sharing Data

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

Moderator:  Lesley Hitchens, Emerita Professor UTS  

9.45am to 10.45am - 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.

10.45am – break 15 mins.

11.00am to 12.50pm - Governance frameworks

Speaker: Dr Kris Wilson and Professor David Lindsay, 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) 

Moderator: Professor David Lindsay, UTS Law 

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 trade-offs: navigating the challenges of operationalising AI

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: Dr 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.

Requirements

Mandatory

  • 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

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 law.shortcourses@uts.edu.au 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 support@open.uts.edu.au with your student or staff number to request your discount voucher code. 

If you have forgotten your UTS student number, email support@open.uts.edu.au 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

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.

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