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

A Bengaluru firm trains a chatbot on customer emails containing names, phone numbers and account details without telling customers. A researcher later extracts some of these personal details by prompting the chatbot. Which pairing of risks is most directly shown?

The facts show privacy leakage from training data together with a lack of transparency to the individuals concerned. Personal details were memorised and extracted via prompts, and customers were never informed of the use. Drift, reward hacking, underfitting or collusion are not involved.

  1. APrivacy leakage from training data and absence of transparency to data principalsCorrect
  2. BConcept drift and hardware failure
  3. CReward hacking and underfitting
  4. DDigital divide and algorithmic collusion

Explanation

Personal data memorised by the model was revealed through prompts, which is privacy leakage. Customers were also never told their data was used, which is a transparency and notice failure. The other pairings concern unrelated technical or market issues not present in the facts.

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