General Studies 2026 GS Paper III 15 marks 250 words What

GS Paper III — Q16

What is agentic Artificial Intelligence (AI)? Explain its working. Describe its applications with suitable examples. Discuss the…

What is agentic Artificial Intelligence (AI)? Explain its working. Describe its applications with suitable examples. Discuss the advantages, risks and challenges associated with agentic AI systems. (Answer in 250 words) 15 marks

हिंदी में प्रश्न पढ़ें

एजेंटिक कृत्रिम बुद्धिमत्ता (ए आई) क्या है? इसकी कार्य-प्रणाली को समझाइए। इसके अनुप्रयोगों का वर्णन उचित उदाहरणों के साथ कीजिये। एजेंटिक ए आई प्रणालियों से सम्बद्ध लाभों, जोखिमों और चुनौतियों की चर्चा कीजिये। (उत्तर 250 शब्दों में दीजिए)

Q16 of the 2026 UPSC Mains General Studies GS Paper III, as printed
The question as printed in the 2026 General Studies paper

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Model answer

Drafted with AI by UPSC Answer Check against this question's marking rubric, to the 250-word length. UPSC does not publish answers for Mains — this is one way to score well, not an official key. How we build rubrics and answers.

Agentic Artificial Intelligence (AI) refers to autonomous, goal-directed systems that plan multi-step actions, use external tools and adapt to feedback without step-by-step human prompting. Unlike a chatbot that only answers, an agent acts.

Working of Agentic AI A Large Language Model serves as the reasoning and planning engine and runs iterative think-act-observe cycles (e.g., ReAct). The agent breaks a goal into sub-tasks, calls tools and APIs, stores context in short- and long-term memory, observes results and corrects its course until the goal is met.

Applications Coding agents write, test and debug software; customer-service agents complete end-to-end transactions; research agents gather and synthesise data. In India, supported by the IndiaAI Mission, enterprises use agents in fintech for fraud detection and underwriting and in healthcare for workflow automation and triage.

Advantages, Risks and Challenges Agents offer large efficiency gains, reduce cognitive load on repetitive multi-step work and speed up decisions.

However, one early reasoning error can cascade across sub-tasks into serious failures. Agents are vulnerable to prompt-injection attacks, may displace white-collar jobs, and can weaken human oversight and blur legal accountability. Challenges also include data-privacy compliance under the DPDP Act, 2023, high compute and energy costs, and immature standards for agent-to-tool interoperability.

Human-in-the-loop controls for high-stakes actions, sandboxing, verifiable guardrails and technical standards, building on MeitY's India AI Governance Guidelines (November 2025), can balance autonomous productivity with accountability.

How this answer will be evaluated

Framework: GS3 Technology: why it matters, use, benefit, risk, policy

What earns full marks: Clear definition, logical working explanation, specific examples, and balanced risk analysis.

Evaluation rubric

Each sub-part is marked on its own, against the marks and word limit printed on the paper.

  1. The answer Define agentic AI, explain how it works, describe its applications with examples, and discuss its advantages, risks and challenges. 15 marks · 250 words

    discuss— intro → 3-4 dimensions → example → balanced close

    Must cover

    • Define agentic AI as autonomous goal-oriented systems
    • Explain working: perception, planning, tool use, memory, action-feedback loop
    • Provide specific application examples (e.g., coding, customer service, research, fintech)
    • Discuss advantages as well as risks and challenges (hallucination cascades, security, accountability, jobs)

    Loses marks

    • Confusing agentic AI with standard chatbots
    • Vague examples without specific use cases
    • Ignoring the 'working' mechanism entirely

    Earns more

    • Mention specific frameworks or protocols (e.g., ReAct, LangChain, tool-calling APIs)
    • Distinguish agentic AI from traditional chatbot-style LLM use
    • Suggest governance measures (human-in-the-loop, India AI Governance Guidelines 2025, DPDP Act)
    • Reference current adoption in India (IndiaAI Mission, enterprise agents)

    Extra mark

    • Simple flowchart of the agent loop
    • Reference to specific safety protocols (e.g., sandboxing)
What "What" is asking you to do

What is an interrogative rather than a command word. It opens a multi-part stem — what the thing is, then its causes, risks or remedies — and the definitional clause is the gate rather than the answer, with the marks spread across the clauses that follow it.

Structure that answers it

What it is, in two or three lines → the second clause of the stem, at length → the third clause, at length → a closing line only if room remains

Where marks are lost

Spending half the answer establishing the object and leaving the later clauses, which carry most of the marks, thinly answered.

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