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
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.
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.
UTS is the top-ranked young university in Australia. Our vision is to be a leading public university of technology recognised for our global impact. We’re known for our innovative teaching. We’re committed to practical innovation and research that benefits industry and society.
We believe in social change to create a more just and equal world. UTS acknowledges the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation.
Upon whose ancestral lands our campuses now stand. 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.
The majority of modern AI examples rely on deep learning and natural language processing, and these technologies enable computers to process large quantities of data and recognise patterns within that data to complete specific tasks and activities.
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products.
Artificial Intelligence Training provides a comprehensive knowledge of Artificial Intelligence and Machine Learning from beginners to Intermediate Level.
If Artificial Intelligence (AI) is set to take over the world, it makes sense that we learn to leverage its potential for our own advantage, which is where this Short Course can help.
Artificial Intelligence (AI) is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence and it aims to simulate human-like cognitive processes.
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