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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.

What approach does the passage consider most sustainable for library services?

The correct answer is
Blending AI tools with human expertise

Understanding Sustainable Library Services

Identifying the Most Sustainable Approach

The passage discusses the integration of Artificial Intelligence (AI) in libraries and its implications for service sustainability.

  • The text highlights the limitations of AI, such as the inability of chatbots to replicate human empathy, judgment, or critical thinking.
  • It also points out ethical concerns like data privacy and algorithmic bias.
  • Based on these considerations, the passage explicitly states that "a hybrid approach that blends AI with human expertise the most sustainable model."
  • This balanced approach combines the efficiency and advanced capabilities of AI tools with the essential human qualities provided by library professionals.
  • The passage emphasizes that balancing human expertise with AI capabilities is crucial for ensuring equitable and meaningful access to library resources.

Therefore, the most sustainable approach for library services, according to the passage, is the blend of AI tools with human expertise.

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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?
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