Idioms and phrases used in the The Hindu editorial article "Teaching computers to forget" 30th July 2024

Idioms and phrases used in the The Hindu editorial article "Teaching computers to forget"

1.       Churn huge swathes of data:

o    Explanation: To process or analyze large amounts of data rapidly.

o    Example: "Modern AI systems churn huge swathes of data to identify patterns and insights."

2.      Antithesis of ML:

o    Explanation: Something that is the direct opposite of Machine Learning.

o    Example: "Machine Unlearning is the antithesis of ML, as it focuses on erasing data rather than learning from it."

3.      Data lineage:

o    Explanation: The history and flow of data from its origin to its final state.

o    Example: "Understanding data lineage is crucial for maintaining data integrity and quality."

4.      Data poisoning:

o    Explanation: The act of deliberately inserting false or misleading data into a system to corrupt its outputs.

o    Example: "Data poisoning is a significant threat, as it can lead to biased AI models."

5.      Data pruning:

o    Explanation: The process of removing unnecessary or redundant data.

o    Example: "Data pruning can help in reducing storage costs and improving system performance."

6.     Gaining traction:

o    Explanation: Becoming more popular or accepted.

o    Example: "The concept of Machine Unlearning is gaining traction as more companies recognize its benefits."

7.      Headroom:

o    Explanation: Space or capacity for growth or expansion.

o    Example: "Providing headroom for innovation, the company allowed its engineers to experiment with new technologies."

8.     Statutory blueprint:

o    Explanation: A legal framework or set of guidelines.

o    Example: "The government is working on a statutory blueprint for regulating AI technologies."

9.     Soft-law or hard-law approaches:

o    Explanation: Soft-law refers to non-binding guidelines, while hard-law refers to legally binding regulations.

o    Example: "The EU is considering both soft-law and hard-law approaches to manage AI development."

10.  Trans-boundary implications:

o    Explanation: Effects or consequences that extend across national borders.

o    Example: "AI technologies often have trans-boundary implications, affecting policies and practices in multiple countries."