Print Friendly, PDF & Email

Generative AI: What are the potential applications and ethical concerns?

GS Paper 3

 

Source: The Hindu, PIB

 Direction: We had already covered Generative AI previously; the points given here are only the unique points that we didn’t cover previously.

  

What is Generative AI:

  • Generative Artificial Intelligence refers to the capability of artificial intelligence-enabled machines to use existing text, audio files, or images to create new content.
  • The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. “Large language model” – LLMs began at Google Brain in 2017, where they were initially used for the translation of words while preserving context.
  • Since then, large language and text-to-image models have proliferated at leading tech firms including Google (BERT and LaMDA), Facebook (OPT-175B, BlenderBot), and OpenAI, a nonprofit in which Microsoft is the dominant investor (GPT-3 for text, DALL-E2 for images, and Whisper for speech).

  

Benefits of Generative AI:

  • Automated content generation
  • Improved content quality
  • Increased content variety
  • Personalized content

  

Generative Adversarial Network:

A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs typically run unsupervised and use a cooperative zero-sum game framework to learn.

 

 

Ethical concerns associated with Generative AI:

  • Bias and Discrimination: AI models can perpetuate and amplify biases in their training data, leading to discriminatory outcomes and unjust decisions.
  • Responsibility and accountability
  • Privacy: Generative AI models have the potential to collect and generate vast amounts of personal data, which can raise privacy concerns.
  • Ownership and control
  • Fairness and transparency: AI models can make decisions that lack transparency and fairness.
  • Job displacement
  • Misuse: AI models can be used for malicious purposes, such as creating fake news or deep fakes, or spreading hate speech.
  • Top of Form

 

Indian Initiatives for Generative AI:

 

Insta Links:

Generative AI

A New Global Standard for AI Ethics