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CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics

A hospital chain in Chennai deploys a deep-learning system that recommends treatment plans. Doctors cannot explain to patients why the system recommended a particular plan for them. Which challenge is primarily at issue?

The primary challenge is lack of explainability, commonly called the black-box problem. Deep-learning models produce outputs without reasoning humans can readily interpret, so doctors cannot justify recommendations to patients, which weakens accountability, informed consent and the ability to contest decisions.

  1. ALack of explainability, the black-box problemCorrect
  2. BData localisation failure
  3. CHardware obsolescence
  4. DLatency in network transmission

Explanation

Deep neural networks often produce outputs without human-interpretable reasoning. Inability to explain a decision affects accountability, consent and contestability. Localisation, hardware and latency are unrelated to the inability to give reasons for outputs.

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