Score:
9/15
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Topper’s Copy
GS3
Science & Technology
15 marks
Why is accountability important in the use of Artificial Intelligence in telecom services? Discuss the major risks and suggest measures to ensure responsible AI use.
Student’s Answer
Evaluation by SuperKalam
Demand of the Question
- Explain why accountability matters for AI in telecom services.
- Discuss major risks.
- Suggest measures for responsible AI use.
What you wrote:
AI is transforming telecom through intelligent network management, fraud detection and predictive maintenance. Accountability ensures these technologies remain safe, transparent & citizen centric.
AI is transforming telecom through intelligent network management, fraud detection and predictive maintenance. Accountability ensures these technologies remain safe, transparent & citizen centric.
Suggestions to improve:
- Could briefly identify accountability as operators and developers answering for AI decisions and resulting harm.
What you wrote:
(i) Consumer trust: Allows customers to challenge automated decisions, such as wrongful SIM blocking
(ii) Clear responsibility: Fixes liability on operators and developers when AI errors cause financial or service related harm.
(iii) Network reliability: Ensures human intervention when faulty AI-based traffic management disrupts connectivity.
(iv) Protection of Rights: Prevents data misuse & discriminatory decisions, upholding the right to Privacy under Article 21.
(i) Consumer trust: Allows customers to challenge automated decisions, such as wrongful SIM blocking
(ii) Clear responsibility: Fixes liability on operators and developers when AI errors cause financial or service related harm.
(iii) Network reliability: Ensures human intervention when faulty AI-based traffic management disrupts connectivity.
(iv) Protection of Rights: Prevents data misuse & discriminatory decisions, upholding the right to Privacy under Article 21.
Suggestions to improve:
- Could describe accountability as helping detect, deter and remedy data misuse.
- Can distinguish consumer trust from rights protection by keeping appeals under trust and privacy safeguards under rights.
What you wrote:
(i) Cyber security threats: Manipulated AI systems can expose network infrastructure to cyberattacks, compromising sensitive databases & critical communication network.
(ii) Privacy violations: Analysing call records, browsing patterns and location data can enable unauthorised surveillance & profiling of customers.
(iii) Algorithmic bias: Biased training datasets may wrongly classify genuine customers as fraudsters, resulting in denial of essential telecom services.
(iv) Systemic disruptions: Errors in AI-driven network optimisation can cause widespread outages, affecting emergency communication, banking & healthcare services.
(i) Cyber security threats: Manipulated AI systems can expose network infrastructure to cyberattacks, compromising sensitive databases & critical communication network.
(ii) Privacy violations: Analysing call records, browsing patterns and location data can enable unauthorised surveillance & profiling of customers.
(iii) Algorithmic bias: Biased training datasets may wrongly classify genuine customers as fraudsters, resulting in denial of essential telecom services.
(iv) Systemic disruptions: Errors in AI-driven network optimisation can cause widespread outages, affecting emergency communication, banking & healthcare services.
Suggestions to improve:
- Could make the distinction between malicious AI manipulation and unintended optimisation errors explicit.
- Can connect wrongful fraud classification with the difficulty consumers face in challenging automated decisions.
What you wrote:
(i) Risk based regulation: TRAI should establish risk-based AI standards, ensuring safeguards proportionate to potential harm.
(ii) Human oversight: Retain human intervention in critical decisions & network operations.
(iii) Independent audits: Periodically examine algorithms for bias, accuracy, transparency & security.
(iv) Grievance Redressal: Mandate incident reporting, clear liability & accessible consumer complaint mechanisms under TRAI oversight.
(v) Consumer protection requires accessible complaints and timely resolution
(i) Risk based regulation: TRAI should establish risk-based AI standards, ensuring safeguards proportionate to potential harm.
(ii) Human oversight: Retain human intervention in critical decisions & network operations.
(iii) Independent audits: Periodically examine algorithms for bias, accuracy, transparency & security.
(iv) Grievance Redressal: Mandate incident reporting, clear liability & accessible consumer complaint mechanisms under TRAI oversight.
(v) Consumer protection requires accessible complaints and timely resolution
Suggestions to improve:
- Could merge point (v) into point (iv), retaining timely resolution.
- Can strengthen risk-based regulation using the Telecom Regulatory Authority of India’s draft responsible-AI guidelines, which propose risk tiers and board-approved governance policies.
What you wrote:
Therefore, India must balance AI-driven innovation, with enforceable accountability to build secure, inclusive and trustworthy telecom infrastructure, advancing Digital India.
Therefore, India must balance AI-driven innovation, with enforceable accountability to build secure, inclusive and trustworthy telecom infrastructure, advancing Digital India.
Suggestions to improve:
- Could emphasise enforceable responsibility rather than repeat broad objectives.
Your answer addresses all three demands with strong telecom examples and clear organisation. Refine the accountability wording and remove repetition to make the measures more precise.
Demand of the Question
- Explain why accountability matters for AI in telecom services.
- Discuss major risks.
- Suggest measures for responsible AI use.
What you wrote:
AI is transforming telecom through intelligent network management, fraud detection and predictive maintenance. Accountability ensures these technologies remain safe, transparent & citizen centric.
AI is transforming telecom through intelligent network management, fraud detection and predictive maintenance. Accountability ensures these technologies remain safe, transparent & citizen centric.
Suggestions to improve:
- Could briefly identify accountability as operators and developers answering for AI decisions and resulting harm.
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