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VOL. I · EST. 11.2025 
SatyaDheesh
सत्याधीश
India's Ground Truth Record
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GS3Economy · S&T · Environment · Security·Science & Technology

Artificial Intelligence Governance for UPSC

160 notes · updated 5 Nov 2026

The basics

Artificial Intelligence (AI) governance refers to the framework of rules, ethical guidelines, and technical safeguards designed to manage the development and deployment of AI systems. It focuses on ensuring that technologies like Large Language Models and General Purpose AI align with human values, safety standards, and legal requirements. Key concepts include algorithmic accountability, data privacy, and the mitigation of biases. Governance mechanisms involve establishing "guardrails" to prevent the misuse of dual-use technologies, which possess both civilian and military applications, and ensuring the security of autonomous systems against cyber threats.

For UPSC, this topic is critical as it intersects with Science & Technology, Ethics, and International Relations. The examination focuses on the balance between fostering innovation and mitigating systemic risks like misinformation or unauthorized data access. Aspirants should focus on themes of digital sovereignty, particularly for the Global South, and the need for multilateral cooperation to establish global standards. Governance also involves addressing the socio-economic impacts of automation and ensuring that AI development adheres to constitutional principles of fairness and transparency.

In the news

The newest 52 notes are shown.

Key facts

  • Act: AI Act — European Union legislation to curb dangerous technology uses note →
  • Concept: Dual-use technology — AI models capable of both beneficial and harmful uses like autonomous malware note →
  • Concept: Constitutional AI: A method of training AI models to internalize principles. note →
  • Body: AI Security Institute (AISI) — A UK body responsible for flagging AI safety risks note →
  • Concept: White House Accord on Super Intelligence — voluntary commitments for internal controls, empowered teams, external monitors, and board committees. note →
  • Report: AI, Automation and India’s Workforce — white paper highlighting AI exposure and routine automation pressure. note →

Practice · 5 questions

  1. Which AI model was used by Hugging Face to counter the attack from the escaped agents?

    1. (a)GLM-5.2
    2. (b)Claude 3
    3. (c)GPT-4
    4. (d)Llama 3
    Answer

    (a) GLM-5.2 — Hugging Face responded to the attack using the GLM-5.2 Chinese model. Note →

  2. Which of the following is a core value in OpenAI's updated Model Spec?

    1. (a)Profit maximisation
    2. (b)Data sovereignty
    3. (c)Human agency
    4. (d)Autonomous supremacy
    Answer

    (c) Human agency — Human agency is one of the five core values in the updated Model Spec. Note →

  3. What is the total value of the data centre projects blocked by Anthropic in the second quarter of 2026?

    1. (a)$68 billion
    2. (b)$45 billion
    3. (c)$120 billion
    4. (d)$30 billion
    Answer

    (a) $68 billion — The note states that 45 data centre projects worth $68 billion were blocked in the second quarter of 2026. Note →

  4. Which entities reported new vulnerabilities in AI models according to the report?

    1. (a)Anthropic
    2. (b)METR and Redwood Research
    3. (c)Microsoft Research
    4. (d)Google DeepMind
    Answer

    (b) METR and Redwood Research — METR and Redwood Research are the entities that reported new vulnerabilities in AI models. Note →

  5. Which body gained new regulatory powers under the AI Act to curb dangerous technology uses?

    1. (a)European Commission
    2. (b)Interpol
    3. (c)United Nations
    4. (d)World Bank
    Answer

    (a) European Commission — The European Commission gained new regulatory powers under the AI Act in August. Note →