Daily RC and Vocabulary_24th February

AI for all

The AI Impact Summit was a sign of things to come in IndiaThe attendance at the AI Impact Summit, in New Delhi, showed an extreme enthusiasm for Artificial Intelligence (AI) technologies by digitally connected Indians. While statistics shared by AI firms have frequently cited India as the biggest user base outside the U.S., the crowds over the week were the biggest indicator of just how keen many Indians are to adopt this technology. At its core, the summit was a continuation of a series of annual multilateral discussions on AI, and 89 countries have signed a declaration laying out a voluntary set of commitments to share knowledge on AI democratisation. The summit’s context comes with foreboding challenges for India: namely, deploying and diffusing a technology whose capital and infrastructure reside abroad, and finding a place in the global AI ecosystem that will place Indians well in the economic transformations that this technology’s adoption promises. India’s data centre capacity is growing healthily, but the AI moment calls for further momentum, a difficult ask when the costs of graphics processing units (GPUs) driving AI push up the cost of domestic deployment so much, not to mention the additional electrical capacity that must be built. A national strategy that relies overwhelmingly on becoming a hub for the deployment of models, with less emphasis on their training and finetuning, could pose risks; after all, with fewer labour costs, the advantage that India has will be smaller than in the ITeS era.On the international cooperation front, it is disappointing that India has so eagerly enabled the U.S.’s hands-off impulses for AI. This is a technology with enormous scope for economic and social disruption. Countries must use the annual AI forum to collectively build tools and safety standards that can exercise actual leverage over how LLMs diffuse throughout society. Leadership of the Global South entails empowering countries that are individually vulnerable to collateral damage in an era of great power rivalries. AI is increasingly defining that era more and more acutely. Consensus at all costs is not the appropriate approach. As a country of enthusiastic AI adopters, India has the leverage and capacity to articulate an optimistic but prudent way forward for AI governance, and the summit declaration showed no signs of this power. The summit’s central pillar remains an important one: for AI to be a net good, its capabilities need to be democratised. As India closes its digital divide, there cannot be an inference gap. If the summit made anything clear, it was that India is as capable of organically contributing to worldwide growth as it has the capacity, should it choose, to be a force to shape its orderly growth.

🔟 Top 10 Vocabulary from the Editorial

1️⃣ ForebodingMeaning: A feeling that something bad will happen; ominous anticipation.

Example: The rapid spread of AI without regulation creates a sense of foreboding about job displacement.2️⃣ DiffusingMeaning: Spreading or distributing over a wide area.
Example: The government must focus on diffusing AI technologies across rural India, not just urban centres.3️⃣ OverwhelminglyMeaning: To a very great extent; predominantly.
Example: A strategy overwhelmingly dependent on foreign AI models may reduce India’s strategic autonomy.4️⃣ EagerlyMeaning: With strong interest or enthusiasm.
Example: India has eagerly embraced digital payments and is now doing the same with AI tools.5️⃣ Collateral DamageMeaning: Unintended harm caused as a side effect of an action.
Example: Smaller economies may suffer collateral damage in AI-driven geopolitical rivalries.6️⃣ LeverageMeaning: Power or advantage used to influence outcomes.
Example: India can use its large AI user base as leverage in global AI negotiations.7️⃣ PrudentMeaning: Acting with careful judgment and foresight.
Example: A prudent AI policy balances innovation with ethical safeguards.8️⃣ DemocratisationMeaning: The process of making something accessible to everyone.
Example: The democratisation of AI requires affordable access and digital literacy.9️⃣ ImpulseMeaning: A sudden urge or tendency to act in a particular way.
Example: A completely hands-off regulatory impulse may lead to misuse of AI technologies.🔟 Inference GapMeaning: A gap in understanding or ability to interpret information effectively.
Example: Even if rural users access AI tools, an inference gap may prevent them from fully benefiting.

🧠 RC MCQs – AI for All

Q1. Which of the following best captures the central concern of the editorial?

(a) India is lagging behind the U.S. in AI innovation.

(b) AI adoption in India is excessive and poorly regulated.
(c) India must move beyond being a consumer of AI to shaping its governance and infrastructure.
(d) The AI Impact Summit failed due to lack of international participation.

Answer: (c)Explanation:

The editorial acknowledges enthusiasm and participation but argues that India risks remaining only a deployer of foreign AI models. It stresses the need for strategic autonomy and governance leadership.Q2. The author’s concern regarding an “overwhelmingly deployment-focused national strategy” implies that:(a) India should ban foreign AI models.
(b) Deployment without training capacity may reduce long-term economic advantage.
(c) AI deployment is unnecessary in developing countries.
(d) Labour-intensive sectors will benefit more from AI.

Answer: (b)Explanation:

The editorial argues that if India focuses only on deploying pre-trained models (rather than training and fine-tuning them), it may capture limited value and lose its comparative advantage.Q3. According to the passage, India’s alignment with the U.S.’s “hands-off impulses” in AI governance is seen as problematic because:(a) It may isolate India from the Global South.
(b) It weakens India’s defence partnerships.
(c) It limits the development of GPUs domestically.
(d) It prevents AI adoption among citizens.

Answer: (a)Explanation:

The editorial suggests that India, as a Global South leader, should advocate stronger global AI safety standards rather than simply aligning with the U.S.’s lighter regulatory approach.Q4. The phrase “there cannot be an inference gap” most nearly suggests that:

(a) AI systems must avoid making logical errors.

(b) Data centres should reduce processing delays.
(c) Access to AI must be accompanied by the ability to meaningfully use and interpret it.
(d) AI governance must eliminate misinformation.

Answer: (c)Explanation:

“Inference gap” refers to the difference between having access to technology and having the skills or literacy to benefit from it effectively.Q5. Which of the following assumptions underlies the author’s argument?

(a) AI-driven economic transformation is inevitable and will reshape global power structures.

(b) AI is less significant than earlier technological revolutions.
(c) India lacks the capacity to contribute meaningfully to AI innovation.
(d) International cooperation in AI is impossible.

Answer: (a)Explanation:

The editorial assumes AI is defining the current era of great power rivalry and economic transformation. Hence, India must strategically position itself within this evolving order.