It is reported that the mention was made before Justice Maheswari by AORs and Sr Counsel (AIRIEF ). We understand the response was "We will see to it".
The detailed report is awaited.
S. K. Awasthi
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Anonymous
said...
What is the 30% rule in AI? AI Overview The 30% Rule for AI. Procrastination, boredom, fatigue ... The 30% rule in AI is a guideline suggesting AI handles about 70% of repetitive, low-value tasks, freeing humans to focus on the remaining 30% requiring creativity, critical thinking, and ethical judgment, though some interpretations suggest AI should only contribute up to 30% of the final work, with humans doing the 70% to ensure learning and deep understanding. It's about balancing automation for efficiency (like data sorting, routine emails) with essential human skills (strategy, empathy, complex problem-solving) to augment rather than replace human capabilities. AI Overview: India is ranked 3rd globally in AI competitiveness, according to Stanford University's 2025 Global AI Vibrancy Tool. Behind only the United States and China, India’s position is driven by high scores in talent, research output, and a fast-growing AI startup ecosystem. India surpassed several developed nations, including the UK, Canada, and Germany, to secure this spot. AI Overview: Key Aspects of India’s AI Ranking (2025–2026): Top 3 Talent Pool: Stanford's report highlights India in the top three for AI talent, featuring a large workforce of skilled engineers and developers. Rapid Ascent: India has risen from seventh to third place in global AI rankings in just over a year. Strong Investment & Innovation: India has seen increased investment ($1.25 billion announced) and a high volume of AI startups, placing it ahead of the UK, South Korea, and Canada. Key Focus Areas: According to PIB, the ranking reflects growth in research, AI infrastructure, and a robust startup ecosystem. Challenges: Despite the ranking, reports indicate a need for more AI-trained professionals, with a projected demand for 2 million AI-related jobs by 2026, despite producing 1.5 million engineers annually. India Ranks 3rd In AI Competitiveness After US And China: ReportIndia stands out among lower-middle-income countries, as it is the only one to feature so high on the global list, underlining its unique position in the AI landscape. India has emerged as the world's third most competitive country in artificial intelligence, according to Stanford University's Global AI Vibrancy Tool on Sunday. The latest ranking highlights how India's fast-growing tech ecosystem and strong talent base are helping the country play a key role in the global AI race. The Visual Capitalist chart, based on Stanford's data, shows the United States clearly leading the world in AI competitiveness with a vibrancy score of 78.6. China is placed second with a score of 36.95, while India ranks third with a score of 21.59. This puts India ahead of several advanced economies, including South Korea, the United Kingdom, Singapore, Japan, Canada, Germany and France.
Stanford's AI Vibrancy Tool combines several indicators into a single score to measure how developed and competitive a country's AI ecosystem is. These indicators include research and development, talent availability, investment and economic impact, infrastructure, public opinion, and policy and governance. The tool aims to show where innovation and AI talent are growing and how seriously governments are backing artificial intelligence. The data also shows that income levels play an important role in AI competitiveness. High-income countries dominate the top of the ranking, while upper-middle-income countries such as China and Brazil are steadily closing the gap. India stands out among lower-middle-income countries, as it is the only one to feature so high on the global list, underlining its unique position in the AI landscape. In specific areas, different countries lead different metrics. The United States tops categories such as research and development, responsible AI, economy, policy and governance, and infrastructure. China performs strongly in talent, economy and infrastructure, while India features among the top three in talent -- reflecting its large and skilled workforce in technology and engineering. The report also flags a broader concern. While the link between national income and AI competitiveness is expected, the growing gap between countries could deepen global inequality if access to AI growth remains uneven. For India, however, the ranking is a major boost. It reflects rising investments in AI, increasing research output, a strong startup ecosystem and a massive pool of engineers.
whether AI will bring more inequality or reduce it so that all enjoy life? (India is going to decrease inequality as a first nation in the world) AI Overview: Whether AI increases or decreases inequality is not yet settled, as it acts as a "double-edged sword" depending on how it is governed and deployed. Most experts and international organizations, such as the UNDP and IMF, warn of a potential "Next Great Divergence" where existing gaps between and within nations could widen without deliberate intervention. Factors That Could Widen Inequality Labor Displacement: AI is unique because it automates not just routine manual labor but also high-skilled cognitive tasks, such as those performed by lawyers, analysts, and creative professionals. This risks displacing workers who cannot quickly reskill. Wealth Concentration: Profits from AI productivity gains tend to flow to the "capital owners" and a small elite of powerful tech companies, potentially leaving the broader workforce behind. The Digital Divide: Wealthy nations have the infrastructure (high-speed internet, reliable power, and data centers) to harness AI's benefits, while many developing countries lack these "digital foundations," risking exclusion from the global AI economy. Algorithmic Bias: If trained on biased data, AI can reinforce systemic discrimination in hiring, lending, and policing, disproportionately harming Factors That Could Reduce Inequality Democratised Access to Services: AI can provide high-quality, low-cost services to underserved areas, such as AI-driven diagnostics to address doctor shortages in rural regions or personalized AI tutoring for students who cannot afford private education.
3 comments:
What is the 30% rule in AI?
AI Overview
The 30% Rule for AI. Procrastination, boredom, fatigue ...
The 30% rule in AI is a guideline suggesting AI handles about 70% of repetitive, low-value tasks, freeing humans to focus on the remaining 30% requiring creativity, critical thinking, and ethical judgment, though some interpretations suggest AI should only contribute up to 30% of the final work, with humans doing the 70% to ensure learning and deep understanding. It's about balancing automation for efficiency (like data sorting, routine emails) with essential human skills (strategy, empathy, complex problem-solving) to augment rather than replace human capabilities. AI Overview:
India is ranked 3rd globally in AI competitiveness, according to Stanford University's 2025 Global AI Vibrancy Tool. Behind only the United States and China, India’s position is driven by high scores in talent, research output, and a fast-growing AI startup ecosystem. India surpassed several developed nations, including the UK, Canada, and Germany, to secure this spot. AI Overview: Key Aspects of India’s AI Ranking (2025–2026):
Top 3 Talent Pool: Stanford's report highlights India in the top three for AI talent, featuring a large workforce of skilled engineers and developers.
Rapid Ascent: India has risen from seventh to third place in global AI rankings in just over a year.
Strong Investment & Innovation: India has seen increased investment ($1.25 billion announced) and a high volume of AI startups, placing it ahead of the UK, South Korea, and Canada.
Key Focus Areas: According to PIB, the ranking reflects growth in research, AI infrastructure, and a robust startup ecosystem.
Challenges: Despite the ranking, reports indicate a need for more AI-trained professionals, with a projected demand for 2 million AI-related jobs by 2026, despite producing 1.5 million engineers annually. India Ranks 3rd In AI Competitiveness After US And China: ReportIndia stands out among lower-middle-income countries, as it is the only one to feature so high on the global list, underlining its unique position in the AI landscape. India has emerged as the world's third most competitive country in artificial intelligence, according to Stanford University's Global AI Vibrancy Tool on Sunday.
The latest ranking highlights how India's fast-growing tech ecosystem and strong talent base are helping the country play a key role in the global AI race.
The Visual Capitalist chart, based on Stanford's data, shows the United States clearly leading the world in AI competitiveness with a vibrancy score of 78.6.
China is placed second with a score of 36.95, while India ranks third with a score of 21.59. This puts India ahead of several advanced economies, including South Korea, the United Kingdom, Singapore, Japan, Canada, Germany and France.
Stanford's AI Vibrancy Tool combines several indicators into a single score to measure how developed and competitive a country's AI ecosystem is.
These indicators include research and development, talent availability, investment and economic impact, infrastructure, public opinion, and policy and governance.
The tool aims to show where innovation and AI talent are growing and how seriously governments are backing artificial intelligence.
The data also shows that income levels play an important role in AI competitiveness. High-income countries dominate the top of the ranking, while upper-middle-income countries such as China and Brazil are steadily closing the gap.
India stands out among lower-middle-income countries, as it is the only one to feature so high on the global list, underlining its unique position in the AI landscape.
In specific areas, different countries lead different metrics. The United States tops categories such as research and development, responsible AI, economy, policy and governance, and infrastructure.
China performs strongly in talent, economy and infrastructure, while India features among the top three in talent -- reflecting its large and skilled workforce in technology and engineering.
The report also flags a broader concern. While the link between national income and AI competitiveness is expected, the growing gap between countries could deepen global inequality if access to AI growth remains uneven.
For India, however, the ranking is a major boost. It reflects rising investments in AI, increasing research output, a strong startup ecosystem and a massive pool of engineers.
whether AI will bring more inequality or reduce it so that all enjoy life? (India is going to decrease inequality as a first nation in the world) AI Overview:
Whether AI increases or decreases inequality is not yet settled, as it acts as a "double-edged sword" depending on how it is governed and deployed. Most experts and international organizations, such as the UNDP and IMF, warn of a potential "Next Great Divergence" where existing gaps between and within nations could widen without deliberate intervention.
Factors That Could Widen Inequality
Labor Displacement: AI is unique because it automates not just routine manual labor but also high-skilled cognitive tasks, such as those performed by lawyers, analysts, and creative professionals. This risks displacing workers who cannot quickly reskill.
Wealth Concentration: Profits from AI productivity gains tend to flow to the "capital owners" and a small elite of powerful tech companies, potentially leaving the broader workforce behind.
The Digital Divide: Wealthy nations have the infrastructure (high-speed internet, reliable power, and data centers) to harness AI's benefits, while many developing countries lack these "digital foundations," risking exclusion from the global AI economy.
Algorithmic Bias: If trained on biased data, AI can reinforce systemic discrimination in hiring, lending, and policing, disproportionately harming
Factors That Could Reduce Inequality
Democratised Access to Services: AI can provide high-quality, low-cost services to underserved areas, such as AI-driven diagnostics to address doctor shortages in rural regions or personalized AI tutoring for students who cannot afford private education.
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