In recent times, generative artificial intelligence (AI) has emerged as a powerful tool for generating content, including text, images, and even music.
Generative AI refers to a class of algorithms that are trained to generate new content that is like a given dataset. These algorithms, often based on neural networks, have been used to create everything from realistic images to convincing pieces of text.
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One of the most well-known examples of AI is OpenAI’s GPT (Pre-trained Transformer) models, which have been trained on vast amounts of text data to generate human-like text.
While the capabilities of AI are undeniably impressive, they also come with inherent risks and ethical considerations.
However, alongside its potential benefits, the adoption of AI presents significant risks that organizations must navigate with caution.
This article points out the top five risks associated with generative AI adoption and proposes mitigation strategies to ensure responsible use.
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