Students have been abuzz over how artificial intelligence tools can do their homework and programmers over how these can increase their productivity or take away their jobs. As much as digitization has transformed the country in recent years, there is a widespread feeling that at some point around the horizon, AI shall rejig everything in even more fundamental, fantastic, and frightening ways. This is why deciding how the coming changes should be regulated is very important. TRAI has made a strong case for an independent statutory authority to ensure the responsible development and use of AI in the country, a global agency along similar lines shall likely be pitched at the G20 leaders’ summit, and interestingly even American MNC Microsoft has floated a blueprint for AI governance in India. The great size and diversity of its “data points” make India of great interest to all developers of AI technologies. But India is only at their receiving end, nowhere close to the US and China’s advances. Although lately, it is becoming obvious how much state censorship is encumbering China’s large language modeling, the country is still very much in the game with PhDs in fields related to AI, investments in AI chip hardware design, and domestic generative models like Wu Dao. The scientific accomplishments of India’s Chandrayaan mission have seen it being wooed for various international space collaborations. This promises spinoff technological benefits across Indian industry and is also geo-strategically useful. Likewise, it is only with sufficient AI prowess that India shall really get to play at the high table of global rulemaking for AI. Knowing how much Indians’ future shall be shaped by generative AI needs matching efforts to create indigenous models. In this and at this stage, a proactive government role is key, rather than just waiting on some large corporation to do the needful. Missing this bus will after all be even more costly than missing the chip research one. Plus, GOI alone can push academia-industry collaborations with the necessary weight and urgency. This does not let other institutions off the hook. A US judge has rejected the copyright for an AI-generated artwork. Indian courts should start engaging with the broader issue of non-human agency rather than wait for precedence to be set elsewhere. Indian schools need to think beyond the ban-ChatGPT mindset. Let us lead instead of only being led. [Extracted from “First, get the tech: Unless India develops domestic AI heft, it wouldn’t play any meaningful part in global regulatory efforts”, Times of India]
Based on the author’s arguments, which of the following would result in weakening, rather than strengthening India’s position at the forefront of generative AI?
Correct Answer :
Introducing generative models like Wu Dao which have demonstrated success in other jurisdictions.
Solution :
The correct answer is: Introducing generative models like Wu Dao which have demonstrated success in other jurisdictions.
Step-by-Step Explanation:
1. Analyze the Question Prompt:
The question asks to identify an action that would weaken, rather than strengthen, India’s position at the forefront of generative AI, based on the author's arguments in the passage.
2. Understand the Author's Main Argument:
Throughout the passage, the author strongly emphasizes the need for India to develop its own indigenous AI models and domestic AI prowess ("Unless India develops domestic AI heft, it wouldn't play any meaningful part in global regulatory efforts", "Knowing how much Indians’ future shall be shaped by generative AI needs matching efforts to create indigenous models"). Relying on foreign/external models or simply being at the receiving end of technologies created by other nations (like the US or China) keeps India from playing a meaningful role in global AI rulemaking.
3. Evaluate the Options:
• Investing in indigenous AI chip hardware design and domestic generative models: The passage explicitly encourages indigenous models and domestic efforts. Doing this would strengthen India's position, not weaken it.
• Exploring spinoff technological benefits with other scientific advancements like the Chandrayaan mission: The author cites Chandrayaan as a positive example of scientific accomplishment bringing spinoff benefits and international standing, strengthening India's position.
• Introducing generative models like Wu Dao which have demonstrated success in other jurisdictions: "Wu Dao" is specifically cited in the passage as China's domestic generative model. Simply adopting or introducing foreign models (like China's Wu Dao) instead of creating domestic/indigenous capabilities leaves India at the receiving end, thus weakening India's independent position and leverage at the global AI table.
• Locally developing technologies such as indigenous AI models: This directly aligns with the author's core recommendation for strengthening India's AI standing.
Conclusion:
Importing or introducing existing foreign generative models like China's Wu Dao instead of building indigenous capabilities keeps India dependent on foreign tech, which weakens its position in global AI governance and innovation.
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