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EDITORIAL ANALYSIS : The potential of generative AI

 

Source: The Hindu

  • Prelims: Science and technology, Artificial intelligence(AI), Generative AI, Big Data, GANs, ChatGPT1 tool, DALL.E2 etc
  • Mains GS Paper III and IV: Significance of technology for India, AI, indigenisation of technology and development of new technology.

ARTICLE HIGHLIGHTS

  • Top technology companies, like Microsoft, Google, Facebook, and others, have commercial AI labs researching and publishing academic papers to accelerate AI innovations.

 

INSIGHTS ON THE ISSUE

Context

Artificial intelligence(AI):

  • It is a branch of computer science dealing with the simulation of intelligent behavior in computers.
  • It describes the action of machines accomplishing tasks that have historically required human intelligence.
  • It includes technologies like machine learning, pattern recognition, big data, neural networks, self algorithms etc.
  • g: Facebook’s facial recognition software which identifies faces in the photos we post, the voice recognition software that translates commands we give to Alexa, etc are some of the examples of AI already around us.

 

Generative AI:

  • It is a cutting-edge technological advancement that utilizes machine learning and artificial intelligence to create new forms of media, such as text, audio, video, and animation.
  • With the advent of advanced machine learning capabilities: It is possible to generate new and creative short and long-form content, synthetic media, and even deep fakes with simple text, also known as prompts.

 

AI innovations:

  • GANs (Generative Adversarial Networks)
  • LLMs (Large Language Models)
  • GPT (Generative Pre-trained Transformers)
  • Image Generation to experiment
  • Create commercial offerings like DALL-E for image generation
  • ChatGPT for text generation.
    • It can write blogs, computer code, and marketing copies and even generate results for search queries.

 

Uses of Generative AI:

  • Generative AI can craft sales, marketing, and brand messaging.
  • Agencies can generate personalized social media posts, blogs, and marketing text and video copies by providing a text prompt to a Generative AI service, like ChatGPT.
  • Service can quickly iterate different text by simply tweaking the prompt to effectively communicate with the audience.
  • E(a generative image generation service): It can also generate original imagery to align with the branding.
  • GitHub, Copilot6 and ChatGPT1 can generate code and help with developer productivity.
  • It can suggest entire functions, snippets, and even fully functioning modules and generate code in real-time right in your editor.
  • ChatGPT can also help you write code to build a technology service or integration quickly.
  • Generating synthetic data for data augmentation and creating additional training data to train and test AI models to experiment at scale.
  • It can sift through numerous legal research materials and produce a pertinent, specific, and actionable summary.
  • It can reduce the countless hours of human research and enable them to focus on more complex and exciting problems.
  • ChatGPT: It can assist in providing answers to complex queries and augment search algorithms to generate responses to complex search queries.
  • It can accelerate the discovery of new research, drafting and synthesizing documents and reports.
  • It can also help create and simulate complex engineering, design, and architecture.
  • It can help speed up the iterative development and testing of novel designs.
  • Architecture, machine design, and even house floor plans are all made by Generative Image and video technology.
  • It can let engineers and consumers design and iterate over floor plans and architectures with as little as a text prompt or vocal command.
  • It can also help health professionals with their medical diagnosis.
  • AI can generate potential and alternative treatments personalized to patients’ symptoms and medical history.
    • For instance, DeepMind AlphaFold can predict the shape of protein.

 

Concerns around AI use:

  • Generative AI can create harm and adversely impact society through misuse, perpetuating biases, exclusion, and discrimination.
  • Bias and exclusion: Generative AI systems can perpetuate and amplify existing biases.
    • If the models are trained on biased, non-inclusive data, they will generate biased outputs.
    • For example: initially, generative imagery would show only images of white men for the prompt “CEO.”
  • Generative AI systems can create content for malicious purposes, such as deep fakes, disinformation, and propaganda.
  • Inappropriate content: It can generate offensive or inappropriate content.
  • Nefarious actors may use AI-generated media to manipulate people and influence public opinion.
  • It may also produce low-quality and less accurate information, specifically in the context of complex engineering and medical diagnosis.
  • It can be challenging to determine who is responsible for the content generated by a generative AI system.
  • The acquisition and consent model around the training data and intellectual property issues make it difficult to hold anyone accountable for any harm resulting from its use.

 

Ethical Issues with AI:

 

Way Forward

  • We must add rigor and responsibility to developing AI technology, enforce ethical guidelines, conduct regular audits for fairness, identify and address biases, and protect privacy and security.
  • Big tech has taken corrective actions to mitigate bias issues and develop AI responsibly in the last few years.
  • It is essential to carefully consider the potential harms, threats, and concerns of Generative AI systems and ensure that they are used responsibly and ethically.
  • Add adequate policy, regulation, awareness, and education to develop and use Generative AI services ethically and responsibly.
  • The governments must use affirmative action to make sure that women and minority groups are fairly represented on AI design teams.

 

QUESTION FOR PRACTICE

Q. What are the different elements of cyber security ? Keeping in view the challenges in cyber security, examine the extent to which India has successfully developed a comprehensive National Cyber Security Strategy.(UPSC 2022) (200 WORDS, 10 MARKS)