Old fear and conspiracies have been resurrected with the focus on artificial intelligence (AI). It is such a broad term that those ignorant of what it encompasses assume the worst. Investopedia brought this interesting topic to us in their article, “Generative AI: How it Works, History, and Pros and Cons.”
If you look at facets of AI, you will find among them generative AI. It can produce content such as audio, text, code, video, images, and other data. Whereas traditional AI algorithms may be used to identify patterns within a training dataset and make predictions, generative AI uses machine learning algorithms to create outputs based on a training dataset.
Although generative AI tools are attracting headlines and money, how many of these will go on to become long-term viable options? Technology bubbles can pose difficult quandaries for business leaders. They may feel pressure to gain a competitive advantage and to invest early in an emerging technology but don’t want to fall for empty hype.
As the AI revolution accelerates, the technology is being used in ever more creative ways. Companies are discovering its potential, causing unease among many content-creators and white-collar professionals, who assume their jobs are at risk.
The biggest challenge is the lack of understanding of how AI systems make decisions and, as a result, how to apply the technology. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
|
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
