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Generative artificial intelligence (GAI)

  • Published
    20th Mar, 2023
Context

Generative artificial intelligence and its uses for Enterprises is transforming the way it operates by analysing vast amounts of data and generating new ideas.

  • It has the potential to change the way businesses interact with customers, create products, and make decisions.
About

What is generative AI?

  • Like other forms of artificial intelligence, generative AI learns how to take actions from past data.
  • It creates new content – a text, an image, even computer code – based on that training, instead of simply categorizing or identifying data like other AI.
  • The rise of GAI can be attributed to the development of advanced generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

Applications:

  • Healthcare: By generating new medical images and simulations, improving the accuracy and efficiency of medical diagnoses and treatments.
  • Music: GAI can help musicians to explore the new sounds and styles, leading to more diverse and interesting music.
    • Example, Amper Music- creates musical tracks from pre-recorded samples.
  • Art and Creativity: It can be used to generate new works of art that are unique. This is helping artists and creatives explore new ideas and push the boundaries of traditional art forms.
    • Example, DALL·E2- This AI model from OpenAI generates new images from text descriptions.

Concerns Related to GAI?

  • Accuracy: ensuring that theoutputs generated by GAI are of high quality and accurate is major concern.
  • Privacy: There is a risk that this data could be used for unethical purposes, such as for targeted advertising or for political manipulation.
  • Joblessness: GAI can promote the joblessness as it has potential to replace the humans.

Way Forward:

  • Regulation: Regulations and standardsmust be put in place to ensure that GAI is used in a responsible and ethical manner. 
  • Collaborationbetween stakeholders, including industry, government, academia, and civil society, is crucial to ensure that GAI is used in a responsible and ethical manner.
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