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This cutting-edge technology has the potential to reshape how organisations work, positioning itself as a cornerstone of next-generation analytics. In this article, we will outline what Generative AI is, how it works, and some of the potential risks involved when using it.
Generative AI refers to a segment of artificial intelligence dedicated to content creation rather than mere analysis or interpretation of existing data.
Unlike traditional AI models, which predominantly focus on classification or categorisation of data, Generative AI models take a unique approach by generating entirely new content from data that can closely resemble human-created content.
These models undergo training on extensive datasets, mastering the intricate patterns and structures within the data. This enables them to produce outputs that are often indistinguishable from humans, setting them apart from traditional artificial intelligence.
Generative AI works by training a machine to understand and mimic patterns from various types of data like text, video, or images.
This data is then used to generate new, realistic outputs.
Gen AI requires a huge amount of data, as an example ChatGPT is built upon 300 billion words, and this is being added to all the time to improve it’s accuracy. The type of data you need is dependent on the type of Generative AI.
Generative AI relies on a concept called Artificial Neural Networks (ANNs), these are models inspired by the structure and function of the human brain, allowing them to understand interconnections, learn patterns and adapt over time, and perform multiple tasks at the same time.
There are a number of ANNs and these are dependent on what you want to use them for, such as:
All Generative AI models need to be trained. Just like a child it needs to be corrected to ensure that the sentences or outputs that it generates are correct. This is an iterative process of improvement.
While Generative AI is super exciting tech, it also presents several risks that need careful consideration:
To help mitigate these risks, one strategy is to establish robust AI Policies and governance frameworks tailored to your organisation.
We have put together some free resources to help get you started, download our AI Policy and Checklist templates >>
These policies outline guidelines and safeguards, ensuring responsible and ethical use of AI technology within your organisation.
However, as with any powerful technology, it is essential to navigate potential risks and ethical considerations responsibly. Organisations that harness the potential of Generative AI stand to gain a competitive edge in innovation and efficiency, provided they approach its implementation with a thoughtful and ethical mindset.