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MICROCREDENTIAL

Ethical AI for Good Business

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$2,397.00

START DATE

 Enquire now

MODE

DURATION

 6 wks

COMMITMENT

 6 wks avg 11 hrs/wk

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Learn to navigate the complexity of ethical AI with this microcredential from UTS TD School and Law. Designed for non-technical business leaders, this course will prepare you to build a culture of ethical technological innovation within your workplace.

About this microcredential

Welcome to the fourth industrial revolution, where artificial intelligence (AI) and machine learning increasingly shape the business landscape. As these technologies continue to evolve, organisations and service providers face increased risks around liability, consumer trust and civil and human rights. 

For organisations, it’s critical that ethical decisions around machine learning and AI are driven by leaders rather than by technicians alone. This UTS Open short course prepares non-technical leaders to establish the conventions for ethical, safe and transparent technological processes and policies that will guide future workplace practice. 

Course content is authentically transdisciplinary, spanning neurodiversity, innovation, law, business, technology, and social justice and inclusion. Through a combination of live workshops, peer-to-peer interaction and self-directed research, you’ll explore:

  • the underpinnings of AI
  • the importance of technological ethics
  • the impact of AI on human rights
  • ethical AI standards, frameworks and regulations
  • challenges to ethical decision making.

Key benefits of this microcredential

  • Equip you to develop a culture of ethical technological innovation within your organisation
  • Develop your understanding and ability to decrease AI risks and legal liabilities for your organisation
  • Strengthen your ability to build consumer trust and safeguard your organisation’s reputation
  • Immerse you in the latest thinking and approaches in transdisciplinary learning.

This microcredential aligns with the 3 credit point subject, Ethical AI for Good Business (94726) in the Masters of Creative Intelligence and Strategic Innovation suite. This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This course is designed for non-technical or non-IT business leaders seeking to shape the development of ethical AI principles.

These include:

  • C-suite executives, senior leaders, executive directors and directors
  • Non-technical business leaders
  • Department heads and directors from marketing, sales, customer service, customer experience, technology, HR, accounting and finance, production and D&D procurement.

Price

Full price: $2,397 (GST free)*

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

Enrolment conditions

COVID-19 response 

Additional course information

Course outline

This subject is a mix of self-paced online learning and weekly live online classes. You will encounter a range of interactive learning tools and resources through the Canvas platform, and will also be encouraged to independently research AI issues that matter especially to you for the course assessment. Our live online classes will provide that opportunity to hone your skills by articulating and investigating ethical issues that arise within contexts where AI is being deployed, with subject matter experts and your peers as formative assessment.

Key content and topics:

  • Core features of and differences between Symbolic and Statistical AI (with a focus on machine learning)
  • Challenging issues that arise in situations where AI is being deployed
  • Technical, social, conceptual, and other factors responsible for those issues
  • Ethical AI standards, frameworks, and regulations
  • Case studies involving AI and computer-based automation.

Assessment

In order to pass this course, participants must achieve a 50% pass rate and complete all activities. The final mark for this course will be based on two assessment tasks as below. The weighting for each assessment type is indicated in brackets.

Individual project (45%)

  • 3-minute video elevator pitch (15%)
  • 500-600-word proposal (15%)
  • 3 x critical peer reviews (15%)

Individual report (55%)

  • Presentation (25%)
  • Artefact e.g. visual framework, template, mind map (30%)

Course learning objectives

  • Navigate core ethical AI issues
  • Appreciate the drivers that shape core and emerging ethical AI issues
  • Lead and contribute to the legislative agenda to develop leading edge ethical AI practice.

Requirements

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, Zoom and Microsoft Teams.

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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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