The Hindu Editorial Analysis- 3th July 2024 | Current Affairs & Hindu Analysis: Daily, Weekly & Monthly - UPSC PDF Download

Digital Jurisprudence in India, in an AI Era

Why in News?

Even though Generative AI (GAI) stands as a transformative force, wielding power to revolutionise society in ground-breaking ways, existing legal frameworks and judicial precedents that have been designed for a pre-AI world may struggle to effectively govern this rapidly-evolving technology.

Concerns Related to Generative Artificial Intelligence (GAI)

• Accuracy:

  • Ensuring high-quality and accurate outputs from GAI is challenging.
  • Advanced generative models are required to accurately capture patterns and rules from data.

• Partisan GAI Models:

  • GAI models trained on biased data may produce biased outputs.
  • This can lead to discrimination and reinforce existing societal biases.

• Privacy:

  • Training GAI models requires large amounts of data, including personal and sensitive information.
  • There is a risk of this data being used unethically, such as for targeted advertising or political manipulation.

• Responsibility:

  • GAI can generate new content, including fake news or malicious content.
  • Determining responsibility for harmful outputs poses ethical dilemmas.

• Automation and Job Displacement:

  • GAI has the potential to automate many processes, leading to job displacement.
  • This raises ethical questions about using AI for job displacement and its impact on workers and society.

Way Forward for Generative Artificial Intelligence (GAI)

• Research and Development:

  • More research is needed to enhance the accuracy and reliability of GAI models.
  • Development of new algorithms and models that are transparent and accountable for their outputs is crucial.

• Regulations and Standards:

  • Implement regulations to ensure responsible and ethical use of GAI.
  • Establish guidelines for data privacy, bias, and accountability.
  • Ensure GAI is used for societal benefit and not to the detriment of individuals or groups.

• Collaboration:

  • Foster collaboration among industry, government, academia, and civil society.
  • Joint efforts are essential to ensure responsible and ethical use of GAI.

• Ethical and Unbiased Data:

  • Ensure the data used for training GAI models is ethical and unbiased.
  • Respect the privacy of individuals and avoid reinforcing existing biases in data collection and usage.

UPSC Civil Services Examination, Previous Year Question (PYQ)

1. Bring down electricity consumption in industrial units
2. Create meaningful short stories and songs
3. Disease diagnosis
4. Text-to-Speech Conversion
5. Wireless transmission of electrical energy

Select the correct answer using the code given below:

(a) 1, 2, 3 and 5 only
(b) 1, 3 and 4 only
(c) 2, 4 and 5 only
(d) 1, 2, 3, 4 and 5

Ans: (b)