Generative AI-related issues Advantages and disadvantages

Generative AI is gaining momentum worldwide. Generative AI (Generative AI) refers to AI (Artificial Intelligence) that can generate a variety of content, including text, images, sound and programme code. Its most distinctive feature is that it can create images and text similar to those produced by humans by continuously learning from large amounts of data.

AI has been used in business and daily life for some time now, but until now most AI has been ‘discriminative AI’, in which the AI is given data to learn the answers and judge whether the input data is correct or incorrect.

The strength of this type of AI is that it can learn the correct answer from a large amount of data and compare it with the given data to determine whether or not it meets the criteria.

Generative AI, on the other hand, can be creative like humans, and can support or replace work.

Currently, there are a number of generative AI systems, including Midjourney and Stable Diffusion, which are image generators; ChatGPT by OpenAI, which has played a role in raising awareness of generative AI; Gen-1, which generates video; and the Gen-1 Voice, which learns with high accuracy when you input a voice sample and can not only read out text, but can also express emotions. The VALL-E voice generation system, which learns with high accuracy when a voice sample is input and can not only read out text, but also expresses emotions in accordance with the voice.