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Module 13 • AI, Cyber Governance & Deep Tech2026-09-2216 min read

Artificial Intelligence Revolution & Global Digital Governance: Agentic AI, Autonomous Science (Robin System), Virtual Biology & The EU AI Act

Target Exam: UPSC & State PSCs World Current Affairs•Official Sources: World International State Gazettes, Budget & Official ReleasesUnited Nations, IMF, World Bank, Global Treaties & International Official Records

1. Paradigm Shift: Generative AI to Agentic AI (2025–2026)

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Technological Trajectory: Global frontier AI evolved from passive statistical token generation (LLMs) to Agentic AI—systems capable of autonomous reasoning, chain-of-thought verification, test-time compute scaling, tool invocation, terminal execution, and multi-step computer interaction.
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Frontier Architectures: Google's Gemini 3.5 and OpenAI's GPT-5.5 established benchmarks in autonomous software engineering, long-horizon research synthesis, and multimodal environment perception.
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Autonomous Scientific Discovery ('Robin' System): Demonstrated automated closed-loop research: literature scanning → hypothesis generation → experiment protocol design → experimental data analysis → hypothesis refinement, published in major scientific journals.
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The $1.8 Billion Virtual Biology Initiative: Announced jointly by the US government, Meta, and Google to build foundational open biological data sets, enabling AI-driven protein engineering, automated cellular modeling, and accelerated drug design.

2. Cybersecurity & The Weaponisation of AI

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Offensive Agentic Capabilities: High-profile cybersecurity reports (including South Korea's financial breach evaluations) confirmed AI agents being weaponized to discover zero-day vulnerabilities in third-party banking APIs, automate phishing campaigns, and exfiltrate credentials without human intervention.
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Deepfakes & Electoral Integrity: Proliferation of hyper-realistic generative audio and video in global elections (US, Brazil, UK), triggering mandatory digital watermarking protocols.

3. Global AI Governance Architectures

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European Union AI Act (Enacted 2024, Full Enforcement 2025–2026):
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World's first comprehensive horizontal legal framework for AI, following a strict Risk-Based Tiering:
1.
Unacceptable Risk (Prohibited): Cognitive behavioral manipulation, untargeted biometric facial scraping, social scoring by governments, and real-time biometric identification in public spaces (with narrow judicial exceptions).
2.
High Risk (Strict Conformity): Critical infrastructure, healthcare, employment recruitment, credit scoring, law enforcement, and justice administration. Requires rigorous risk management, data governance, human oversight, and cyber resilience.
3.
General Purpose AI (GPAI): Models with systemic risk (compute threshold > 10^25 FLOPs) must conduct adversarial red-teaming, energy disclosures, and copyright compliance.
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International Standards: Paris AI Action Summit, OECD AI Principles, and the Council of Europe Framework Convention on Artificial Intelligence.
Key Examination Takeaways:
  • Frontier AI shifted from passive generation to Agentic AI capable of autonomous multi-step computer tasks.
  • The 'Robin' multi-agent system demonstrated automated end-to-end scientific hypothesis testing.
  • US, Meta, and Google launched a $1.8B Virtual Biology Initiative for AI-driven biological foundation models.
  • EU AI Act classifies AI by risk: Prohibited, High Risk, Specific Transparency, and GPAI with systemic risk (>10^25 FLOPs).
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Q1

Which automated multi-agent framework demonstrated autonomous scientific discovery from literature search to hypothesis generation and data analysis in 2026?

Q2

What is the total pledged funding for the Virtual Biology Initiative launched by the US government, Meta, and Google in October 2026?

Q3

Under the European Union AI Act, which category of artificial intelligence systems is strictly prohibited outright from being deployed?

Q4

What computational training threshold (in Floating Point Operations - FLOPs) designates a General Purpose AI (GPAI) model as carrying 'Systemic Risk' under the EU AI Act?

Q5

Which capability distinguishes 'Agentic AI' systems from standard generative conversational chatbots?

Q6

Which international organization established the foundational 2019 Principles on Artificial Intelligence adopted by over 40 democratic economies?

Q7

In which city was the major global AI Action Summit hosted in early 2025 following the Bletchley Park and Seoul Summits?

Q8

Which AI security testing practice involves employing ethical hackers and specialized prompts to probe AI models for safety vulnerabilities before deployment?

Q9

What term describes the technique of giving an AI model additional compute time during inference/response generation to deliberate before answering?

Q10

With reference to the European Union Artificial Intelligence Act (EU AI Act), consider the following statements: 1. It adopts a risk-based classification framework categorizing AI systems into unacceptable, high, specific transparency, and minimal risk. 2. AI systems used for social scoring by public authorities and cognitive behavioral manipulation are classified as 'Unacceptable Risk' and prohibited. 3. The EU AI Act completely exempts General Purpose AI models from all copyright and energy consumption reporting obligations. Which of the statements given above are correct?

Q11

Consider the following statements regarding the emergence of 'Agentic AI': 1. Agentic AI workflows can iteratively plan, invoke external software APIs, query databases, and execute code in sandboxed environments. 2. Agentic AI systems are entirely incapable of error correction and halt permanently if an initial attempt fails. 3. The transition to agentic AI introduces new cybersecurity risks, including prompt injection leading to unauthorized financial or administrative transactions. Which of the statements given above are correct?

Q12

With reference to the intersection of Artificial Intelligence and biological sciences, consider the following statements: 1. AI systems like AlphaFold predict three-dimensional protein structures directly from primary amino acid sequences. 2. The $1.8 billion Virtual Biology Initiative seeks to model complex cellular dynamics and accelerate targeted therapeutic discoveries. 3. Dual-use biological foundation models present zero biosecurity risk regarding the automated synthesis of pathogen toxins. Which of the statements given above are correct?

Q13

Consider the following statements regarding the geopolitical concept of 'Sovereign AI': 1. Sovereign AI refers to a nation's ambition to build indigenous compute infrastructure, foundation models, and datasets within its borders. 2. Sovereign AI frameworks prioritize data localization and technological independence from foreign cloud monopolies. 3. Sovereign AI mandates that countries disconnect completely from global undersea internet cables. Which of the statements given above are correct?

Q14

With reference to the ethical and environmental challenges of scaling frontier AI data centers, consider the following statements: 1. Advanced AI model training and inference clusters consume massive amounts of electrical power and cooling water. 2. Major technology firms have signed power purchase agreements with nuclear power plants to secure 24/7 carbon-free baseload energy. 3. AI training clusters are completely emissions-free and operate with zero electricity consumption. Which of the statements given above are correct?

Q15

Consider the following statements regarding the global governance of Deepfakes and AI-generated media: 1. Content authenticity protocols like C2PA (Coalition for Content Provenance and Authenticity) embed cryptographic provenance metadata in images and video. 2. Several democracies have enacted statutory requirements for mandatory disclosure when synthetic media is used in political advertising. 3. A digitally watermarked image can never be viewed on any smartphone screen under any condition. Which of the statements given above are correct?