MCQs on The Hindu Editorial: "Teaching computers to forget"

Jul 31, 2024 - 10:12
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MCQs on The Hindu Editorial: "Teaching computers to forget"

MCQs on The Hindu Editorial: "Teaching computers to forget"

1) What is the main challenge addressed by Machine Unlearning (MUL)?

A) Improving the accuracy of AI models

B) Identifying and deleting sensitive or incorrect data

C) Increasing the computational power of systems

D) Enhancing data storage capabilities

Answer: B) Identifying and deleting sensitive or incorrect data

Explanation: Machine Unlearning focuses on removing false, incorrect, discriminatory, outdated, and sensitive information from AI models.

2) What does the term 'data lineage' refer to in the context of AI
     models?

A) The future predictions made by AI systems

B) The historical data used for training AI models

C) The tracking and history of data from its origin to final state

D) The hierarchical structure of data storage

Answer: C) The tracking and history of data from its origin to final state

Explanation: Data lineage involves tracing the journey of data, including its transformations and use, to ensure data integrity and quality.

3) Which approach does the European Union's AI Act use to address data
     poisoning?

A) Hard-law approach

B) Private approach

C) International approach

D) Soft-law approach

Answer: D) Soft-law approach

Explanation: The EU's AI Act employs a soft-law approach, adding provisions to tackle data poisoning by requiring security controls to ensure appropriate cybersecurity levels.

4) What is the primary concern with simply deleting the entire data set
     in AI models?

A) It leads to a loss of data integrity

B) It results in inflated computational costs and delays

C) It increases the risk of data breaches

D) It violates data privacy regulations

Answer: B) It results in inflated computational costs and delays

Explanation: Deleting the entire data set and retraining the AI model can be costly and time-consuming, potentially leading to a loss of accuracy.

5)           What is the 'private approach' in implementing Machine Unlearning (MUL)?

A) A government-mandated approach for all companies

B) A voluntary approach where companies test and implement MUL
      algorithms independently

C) An international framework for standardizing MUL practices

D) A public-private partnership for developing AI regulations

Answer: B) A voluntary approach where companies test and implement MUL algorithms independently

Explanation: The private approach allows companies to voluntarily test and apply MUL algorithms, giving them flexibility in enhancing their AI models without direct government intervention.

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