Generative AI
Generative AI is a type of AI that is capable of creating new content such as images, videos, music, and text. It uses what are known as generative models to learn from data and generate new content.
Examples of what it can create include:
- Images created from existing reference images, including people, or even abstract art.
- Music created from basic notes or a combination of existing music.
- Stories, essays, or other forms of writing based on data from multiple reference sources.
- Video clip from a text description.
- Analysis and interpretations of various formats of data.
Benefits
Users will be able to access the value of vast amounts of data that humans would have found it impossible to process. Taking this a step further, users can get information in areas they are not too familiar with and therefore may not even know where to look for answers.
Users will now be able to generate content that is not in their area of expertise without always requiring to find an expert. For example, small business owners with no understanding of technology will be able to create their websites, brochures, social media content, and advertising material without hiring a professional graphic artist and therefore saving money.
Limitations
Content generated by AI is not necesarily accurate so it may need some human review. The content may be repetitive thus removing any distinction between (taking the small business example) the way the product is presented.
And finally, one of the biggest challenges facing generative AI today is the copyright issue. As it creates new content from reference content, is it violating the copyright ownership of the original creators of the content?
Given that this space is very nascent and rapidly evolving, some of these challenges may take a while to be addressed and therefore this technology should be used with caution and a complete understanding of the limitations.
Generative AI has two main components: