Live Transcription of SC proceedings

Context- The Supreme Court took a significant step towards establishing a true “court of record” for future generations to observe and study judicial procedure recently, when it made live transcription of its proceedings available on an experimental basis.

Key Highlights

• • In her request for a live telecast of the court proceedings, senior attorney Indira Jaising made the suggestion to transcribe the hearings.

• Preparing for trial:

• • • On the court’s live-streaming screen, the AI transcript can be seen.
    • The case pertaining to Maharashtra’s political crisis is currently being heard by the five-member Bench headed by the CJI.

• Platform:

• • • Teres, a platform that is frequently used for transcribing arbitration proceedings, is being used for the SC transcription.
    • Nomology Technology Private Limited, a Bengaluru-based company, is in charge of the platform.

• Using a website and other lawyers to share:

• • • Additionally, lawyers who argued the cases will have access to the transcript, which is likely to be posted every evening to the SC website for verification.

• Significance of this step:

• • Following the Supreme Court’s decision to livestream its proceedings before Constitution Benches, the transcribing is the second major decision to increase transparency in the court.
  • The court is making significant progress toward becoming a “court of record” for future generations to observe and learn court craft.

Global methods

• USA:
  • The public and litigants alike have access to court transcripts in the United States.
  • Transcripts of the hearings and oral arguments are made available by the US Supreme Court.
  • The majority of US court proceedings are also recorded stenographically by numerous local courts.
• UK:
  • If the hearing is recorded, a litigant can pay for a transcript of the proceedings in the UK.

Information regarding artificial intelligence

• • Making intelligent machines, particularly intelligent computer programs, is a combination of science and engineering.
  • Using computers to understand human intelligence is a similar endeavor, but AI does not have to be limited to biologically observable methods.
  • Significance:
    • While AI would not replace humans, it would open up new opportunities in a variety of fields.
    • It works with data, and if our machines could be trained, it could automate processes in milliseconds and do amazing things for us.
    • AI is opening up new opportunities that traditional technology could not.
  • Applications:

• Speech to Speech:

• • • • Natural language processing (NLP) is used to convert human speech into written form. This capability is also referred to as automatic speech recognition (ASR), computer speech recognition, or speech-to-text.
      • For voice search, many mobile devices have speech recognition built into their systems, such as Siri, or make texting more user-friendly.

• Computer Vision:

• • • • Computers and systems can use this AI technology to learn meaningful information from digital images, videos, and other visual inputs and take action based on that information.
      • It stands out from tasks involving image recognition due to its capacity to offer recommendations. Computer vision, which is powered by convolutional neural networks, has applications in social media photo tagging, healthcare radiology imaging, and self-driving car manufacturing. 
    • Automobiles:
      • Even though self-driving cars aren’t yet common, they already have safety features powered by AI. The automated sensors known as VI-DAS, for instance, have received funding assistance from the EU. AI is largely responsible for navigation.
    • Cybersecurity:
      • Based on the continuous input of data, AI systems can recognize patterns and backtrack attacks to help identify and combat cyberattacks and other cyber threats.

• Fighting disinformation:

• • • • By searching for words that are sensational or alarming and determining which online sources are deemed authoritative, some AI applications are able to identify fake news and disinformation.

• Smart homes, urban communities and framework:

• • • • Savvy indoor regulators gain from our way of behaving to save energy, while engineers of brilliant urban areas desire to direct traffic to further develop availability and lessen gridlocks.
    • Transport:
      • By minimizing wheel friction, maximizing speed, and enabling autonomous driving, AI has the potential to enhance the safety, speed, and effectiveness of rail traffic. AI is used in Tesla automobiles.
    • Agriculture:
      • The use of artificial intelligence (AI) in agriculture has resulted in the development of applications and tools that provide farmers with proper guidance regarding water management, crop rotation, timely harvesting, the type of crop to be grown, optimal planting, pest control, and other topics. utilizing a drone to examine the captured images and provide a comprehensive report detailing the farm’s current health.
      • It assists farmers in quickly utilizing pest control and other methods to take necessary action by identifying bacteria and pests.
    • Health:
      • It can be used to diagnose a variety of diseases, including COVID-19, and it might be very useful in remote areas without adequate medical facilities.

• Covid-19 and artificial intelligence:

• • • • AI has been utilized for thermal imaging in airports and other locations, as in the case of Covid-19.
      • Computerized tomography lung scans can be used to identify infections in medicine. Additionally, it has been utilized to provide data to monitor the disease’s spread.

Way ahead 

• Generative AI has the potential to harm society and perpetuate biases, exclusion, and discrimination through misuse if it is not designed and developed responsibly and with appropriate safeguards.
• Concerns about data privacy and security arise as a result of these systems’ potential access to sensitive data.
• In addition, it may produce information of lower quality and lower accuracy, particularly in the context of medical diagnosis and intricate engineering.
• Generative AI systems’ potential risks, threats, and concerns must be carefully considered in order to ensure their ethical and responsible use.

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