As artificial intelligence (AI) and automation become more prevalent across workplaces in all sectors, ensuring policies appropriately factor for the social and ethical implications of these technologies is increasingly important.
As artificial intelligence (AI) and automation become more prevalent across workplaces in all sectors, ensuring policies appropriately factor for the social and ethical implications of these technologies is increasingly important.
This course is ideal for professionals wanting to be prepared for the policy challenges that accompany technological advancement.
Gain an understanding of the key social and ethical implications of AI in the workplace, and the way governments are situating these concerns within policy development.
Learn how to critically assess AI policies, initiatives and strategies by reviewing leading global frameworks and workplace policies.
Learn about some of the leading AI policies at multiple levels, and explore national and international policy frameworks and principles related to AI and influencing the workplace.
Our distinctive Melbourne experience helps graduates become well-rounded, thoughtful and skilled professionals – making a positive impact across the globe.
Our research contributes to solving social, economic and environmental challenges the world is facing today and into the future. We’re tightly connected with our communities, at home and abroad, which only enriches our learning, teaching, and research.
Students will learn the essentials of AI including advanced systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. The overview of the course content will be outlined in the curriculum.
This course includes valued and widely recognised certifications from industry leaders AWS and TensorFlow and offers students the opportunity to learn about the most exciting and dynamic field in technology right now, with a high demand for skilled professionals across many industries.
This course is dedicated to enabling students to advance from zero to AI Pro, and get offers for data scientists, machine learning engineers, data analysts, and business analysts in industries such as technology, finance, and consulting.
In a world that's changing faster than ever, don't get left behind. Step abroad our course tailored for the ambitious, the forward-thinkers, and the digital enthusiasts.
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.
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