AI Risks: Identifying Ethical Concerns in Libraries
The question asks to identify a scenario that represents a potential ethical risk associated with using AI for information retrieval in libraries. The provided text discusses various aspects of AI integration in libraries, including benefits and challenges.
Analyzing Ethical Challenges in AI Retrieval
The text explicitly mentions several ethical concerns related to AI adoption:
- Data privacy.
- Dependence on automated systems.
- Algorithmic bias, particularly its potential to suppress unconventional research if AI models are trained primarily on mainstream data.
Evaluating the Options
Let's examine the provided options in light of the text:
- Option 1 (Increase in subscription cost): This relates to financial aspects, not ethical risks directly tied to AI's retrieval function.
- Option 2 (Algorithm bias suppressing unconventional research): This directly aligns with the ethical concern of algorithmic bias described in the text. AI systems might inadvertently limit access to certain types of information or viewpoints if their training data is biased, which is an ethical issue concerning fairness and comprehensive access to knowledge.
- Option 3 (A user choosing between ILMS and Web Content): This describes a user's decision-making process, not an ethical risk posed by the AI system itself.
- Option 4 (Difficulty in cataloging AI tools): This is a practical implementation challenge for librarians, not an ethical risk to users or research.
Therefore, the scenario illustrating a potential ethical risk is algorithmic bias.
Important Questions from Artificial Intelligence
- 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: - 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 : - In designing an agent in AI, PEAS stands for :
- What is the primary function of supervised Machine Learning in Disaster Risk Management (DRM)?
- How do computational models contribute to disaster research?
