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Using artificial intelligence for study

What is Generative Artificial Intelligence?

What is AI?

Artificial intelligence (or AI) is a term that describes "the science and engineering of making intelligent machines" (HAI, 2020). It recognises that machines have the ability to learn techniques and processes to solve problems and perform tasks that we associate with human minds and intelligence.

What is generative AI?

Generative AI is a type of artificial intelligence that can generate media and content (such as text, images, code, audio, or video) in response to prompts from users. Like with other sources of information, you still need evaluate the result that is generated by checking its currency, reliability, bias, timeliness, point of view, and accuracy.

Read more about definitions of common terms used in AI.

Large Language Models (LLM)

Watch the video below to learn about Large Language Models (LLM). These models are trained using large datasets to perform natural language processing (NLP) tasks. NLP is a subfield of AI that looks at language and uses text as its data input.

Educational Innovation Media Team. (2023, February 20). Large Language Models [Video]. YouTube. https://youtu.be/XoYHmIhc6Ec

Ethics of AI

Ethics of Artificial Intelligence

AI ethics are guidelines that help to govern the responsible use of artificial intelligence and inform its development. This aims to minimise negative consequences by critically understanding and addressing ethical concerns such as bias and privacy.

For more information on the social and ethical considerations of AI, visit the AI as an information source page. 

The rapid rise in artificial intelligence (AI) has created many opportunities globally, from facilitating healthcare diagnoses to enabling human connections through social media and creating labour efficiencies through automated tasks. However, these rapid changes also raise profound ethical concerns. These arise from the potential AI systems have to embed biases, contribute to climate degradation, threaten human rights and more. Such risks associated with AI have already begun to compound on top of existing inequalities, resulting in further harm to already marginalised groups (UNESCO, n.d.).

How can we ensure the AI systems we build are responsible, safe and sustainable?

Watch the video below to hear ethical AI expert, Genevieve Bell, share six questions to help us broaden our understanding of future technology. 

TED. (2021, January 15). 6 big ethical questions about the future of AI | Genevieve Bell [Video]. YouTube. https://youtu.be/UGHzKaAOOcA