All Exams Test series for 1 year @ ₹349 only
Question

Artificial Intelligence (AI) has reshaped information retrieval in libraries by enabling faster, more accurate, and context-aware access to resources. Traditional systems relied heavily on Boolean logic, keyword matching, and subject indexing, often demanding strong search skills. In contrast, AI-driven tools use Natural Language Processing (NLP), Machine Learning (ML), and semantic search to interpret user intent and retrieve results that match the user’s context. For instance, instead of listing thousands of items for a term like "digital preservation," AI systems can identify whether the user needs theoretical insights, technological solutions, or case studies and prioritise accordingly. Chatbots and Virtual Reference Services (VRS) represent another major advancement. Earlier reference services were limited by staff availability and slower response times. AI-enabled chatbots now provide 24/7 scalable support, assisting users with catalogue navigation, database searching, and citation queries. Enhanced VRS also include voice-enabled interaction, multilingual help, and links to institutional repositories and e-learning platforms, expanding access for remote and diverse users. However, AI adoption introduces challenges. Ethical concerns include data privacy, dependence on automated systems, and algorithmic bias, which may unintentionally suppress unconventional research areas if tools are trained on mainstream datasets. Additionally, chatbots, despite their efficiency, cannot replicate human empathy, judgement, or critical thinking, making a hybrid approach that blends AI with human expertise the most sustainable model. For LIS professionals, integrating AI demands new competencies. Librarians must develop skills in digital ethics, algorithmic transparency, and data analytics while ensuring that AI tools are critically assessed. Their role increasingly includes evaluating AI systems to ensure they align with educational goals, rather than purely commercial interests. Balancing human expertise with AI capabilities remains central to ensuring equitable and meaningful access.

According to the passage, what is the primary advantage of Chatbots in library services?

The correct answer is
They offer 24/7 support and scalable access.

Chatbots Enhance Library Services

The passage discusses the evolution of library services with the integration of Artificial Intelligence (AI). It specifically highlights the role and benefits of AI-driven tools like chatbots.

Analyzing Chatbot Advantages

According to the provided text, AI-enabled chatbots offer significant improvements over traditional reference services. The passage states:

  • "AI-enabled chatbots now provide 24/7 scalable support, assisting users with catalogue navigation, database searching, and citation queries."

This sentence directly addresses the primary advantage of chatbots in a library context:

  • Option 3: They offer 24/7 support and scalable access. This aligns perfectly with the text's description of continuous availability and the ability to handle numerous user requests simultaneously.

Let's look at why the other options are incorrect based on the passage:

  • Option 1: The passage explicitly mentions that chatbots "cannot replicate human empathy, judgement, or critical thinking".
  • Option 2: The text does not mention chatbots creating new digital resources; their role is described as support and assistance.
  • Option 4: While chatbots can assist with catalogue navigation, the passage does not state they automatically correct cataloging errors.

Therefore, the main benefit highlighted is their ability to provide constant, scalable assistance.

Was this answer helpful?

Important Questions from Artificial Intelligence

  1. In the context of AI, NRF may consider a three-pronged approach. These are:
    A. Advancing International research efforts to address global challenges.
    B. Developing and deploying application.
    C. Efforts to address global challenges through research.
    D. Advancing core AI research.
    E. Enhancing the knowledge regarding AI, NRF
    Choose the correct answer from the options given below:
  2. Arrange the steps involved in the case-based reasoning
    A. System finds closest fit and retrieves solution
    B. System asks user additional questions to narrow search
    C. System modifies the solution to better fit the problem and got successful
    D. System searches data base for similar cases
    E. User describes the problem
    Choose the correct answer from the options given below :
  3. In designing an agent in AI, PEAS stands for :
  4. What is the primary function of supervised Machine Learning in Disaster Risk Management (DRM)?
  5. How do computational models contribute to disaster research?
Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App