Generative Artificial Intelligence Guide
Ethical Use
Consider the ethical implications of using AI tools and the content they create. The Australian Government has developed its AI Ethics Principles, which provides a framework aimed at ensuring fairness and minimising negative impacts when using AI tools.
Data Accuracy
Generative AI tools can sometimes generate information that is inaccurate or untrue. For example, it can make up references that don't exist. These are often referred to as 'hallucinations'. It is important that you review anything generated by these tools in a critical manner.
Bias
Generative AI tools are trained on large amounts of data, which may include cultural, social, and other biases. These biases may carry on to the content that the tools generate. Keep this in mind when you are using AI tools and evaluating the content they create.
Evaluation Techniques
Like with any source of information, it is important for you to evaluate that it is fit for use.
Some common evaluation techniques include:
- CRAP test - a general information evaluation technique
- ROBOT test - an evaluation mnemonic specifically aimed at AI tools
Decision Intelligence
The decision intelligence handbook : practical steps for evidence-based decisions in a complex world by Publication Date: 2023Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI.
