In News:

• The growth of Artificial Intelligence (AI) has been remarkable in recent years. In 2018, a 340-million-parameter AI model was considered large, whereas models like ChatGPT now have 1.8 trillion parameters.
• As part of its ambition to make the digital economy worth USD 1 trillion by 2028, India is focusing on AI sovereignty and investing in semiconductors and AI technologies to achieve this goal.

What is Sovereign AI?

Definition

• Sovereign AI refers to a nation’s ability to develop, control, and deploy AI using its own resources, including infrastructure, data, workforce, and business networks.
• This involves not just developing AI models but also creating infrastructure and nurturing homegrown talent to lead AI advancements within the country.

Key Aspects of Sovereign AI

• National Control: Ensures AI technologies align with a country's laws, regulations, and ethical standards.
• Data Sovereignty: Emphasizes control of data within the country’s borders, protecting privacy, security, and national interests.
• AI in Governance: Generative AI is transforming industries, markets, and governance, with AI-powered tools assisting professionals and governments.
• Ethical Considerations: Countries define security protocols and ethical frameworks to govern the use of AI technologies.
• Strategic Autonomy: Reduces reliance on foreign technologies, encouraging domestic development in AI to achieve strategic independence.
• Economic Competitiveness: AI is crucial for industrial innovation. Without it, nations risk falling behind in the global economy.

Growth and Importance of AI

Evolution of AI Models

• In 2018, a 340-million-parameter model was considered a significant achievement.
• Today, ChatGPT uses 1.8 trillion parameters, and Google’s Gemini uses 1.5 trillion parameters. In comparison, China’s DeepSeek has a model with 240 billion parameters.
• Parameters are the internal variables of AI models, adjusted during training to improve their performance and accuracy.

Strategic Applications

• Sovereign AI plays a pivotal role in critical sectors such as:
  • Defense
  • Healthcare
  • Transportation
  • Governance
• It helps redefine industries, boost innovation, and streamline operations across various sectors.

India’s Position in Sovereign AI

AI Infrastructure Development

• Tata Group and Reliance are building AI infrastructure in India, including the development of Large Language Models (LLMs).
• India has allocated USD 1.2 billion for a sovereign AI project under the IndiaAI Mission, which includes creating an AI supercomputer with thousands of chips.

Government Initiatives

• The IndiaAI Mission is designed to boost India’s AI capabilities by building infrastructure, fostering talent, and supporting innovation within the country.

Global AI Compact

• A Global AI Compact has been proposed to ensure equitable access to AI technologies across nations.
• The compact advocates for sharing AI resources globally while promoting cooperation and addressing challenges associated with AI governance.

In News:

The All India Council for Technical Education (AICTE) has declared 2025 as the "Year of Artificial Intelligence" (AI), aiming to empower over 14,000 AICTE-approved colleges and benefit 40 million students. This initiative aligns with the Prime Minister’s vision to make India a global leader in AI and technology.

Key Objectives and Features of the AICTE AI Initiative:

• Positioning India as a Global AI Leader:
  • Empowering students with AI skills to drive innovation and lead in the emerging AI-driven economy.
  • Preparing India’s workforce for the technological advancements of the future.
• Core Elements of the AICTE AI Initiative:
  • AI Affirmation Pledge: Institutions will adopt and display an AI Affirmation Pledge, focusing on innovation, ethics, and education in AI.
  • Comprehensive AI Integration:
    • Introducing interdisciplinary AI courses and research programs.
    • Setting up AI labs in collaboration with industries to meet global standards.
    • Promoting ethical AI practices with societal benefits in focus.
  • AI Awareness Campaign:
    • “AI for All: The Future Begins Here” campaign includes workshops, hackathons, and guest lectures.
    • Formation of student-driven AI chapters to foster innovation and research.
  • Faculty Development & Industry Partnerships:
    • Workshops and certification programs for faculty to improve AI teaching.
    • Collaboration with companies like Adobe, CISCO, and IBM for student exposure through internships and mentorships.
  • Recognition of Excellence: Institutions excelling in AI integration will be recognized, serving as role models for others.
• Action Plan for Institutions:
  • All institutions are required to submit AI Implementation Plans by December 31, 2024. These plans will be evaluated by the AICTE Approval Bureau and exemplary submissions will be highlighted as benchmarks.
• Shaping India as a Global AI Leader:
  • AICTE aims to revolutionize India’s education system and enhance its position in the global AI race, focusing on building a self-reliant workforce.

Additional Context on AICTE and its Role:

• AICTE Overview:
  • A statutory body and national-level council under the Ministry of Education.
  • Established in November 1945 as a national-level apex advisory body for technical education in India.

Government Initiatives to Support AI and Consumer Protection:

• AI and Consumer Protection:
  • AI-driven tools launched to enhance consumer protection, such as the National Consumer Helpline, e-MAAP Portal, and Jago Grahak Jago mobile application.
  • New guidelines for regulating deceptive marketing in e-commerce to ensure consumer confidence in the digital market.
  • Tools like the e-Daakhil Portal for online complaint filing.

Impact:

• This initiative will have a far-reaching impact, involving more than 14,000 institutions and 40 million students nationwide, preparing them for leadership roles in AI and technology, and helping India secure its future in the global AI-driven economy.

Why is it in the News?

Recently, during the company's annual developer conference, Google unveiled an early version of Project Astra.

What is Project Astra?

• Project Astra is an experimental “multimodal” AI assistant developed by Google DeepMind.
• It's designed to be a versatile tool that can understand and respond to information from the real world through various means,  like text, voice, images, and even videos.
• This makes it different from current AI assistants that mostly rely on internet searches and user input. 
• Building on Google’s Gemini language model, Astra has multimodal capabilities to perceive visuals, sounds, and other real-world inputs.
• The aim is to create a universal AI helper that seamlessly assists us in daily life by comprehending the actual environment through sight and sound, not just text.
• Astra represents Google’s vision for next-gen AI assistants.

Key Features of Google's Project Astra:

• Visual Understanding: Astra can interpret and analyze visual input from its camera feed.
  • It identifies objects, reads text, and describes scenes and environments in detail, allowing users to show Astra something and ask questions about it.
• Voice Interaction: Astra supports natural conversation without the need to repeatedly use wake words.
  • It comprehends context and facilitates back-and-forth dialogue, even allowing users to interrupt its responses.
• Remembering Context: Astra retains memory of previous conversation parts, objects it has seen, and information provided by the user.
  • This contextual awareness enhances the fluidity of interactions.
• Multimodal Integration: Astra integrates visual and auditory inputs to form a comprehensive understanding of the current situation, correlating what it sees and hears to fully grasp the context.
• Real-Time Assistance: Astra delivers real-time assistance by rapidly processing sensor data and queries, ensuring a responsive and interactive user experience.

What are Multimodal AI Models?

• Multimodal AI models are advanced artificial intelligence systems that process and integrate multiple types of data inputs, such as text, images, audio, and video, to develop a comprehensive understanding of context.
• By combining these different modalities, these models enhance their ability to interpret complex scenarios more accurately than unimodal systems.
  • For instance, in autonomous vehicles, multimodal AI uses data from cameras, lidar, radar, and GPS for better navigation.
  • In healthcare, these models integrate medical images with patient history for improved diagnostics.
• Applications also include virtual assistants, which understand and respond to spoken commands while recognizing objects in images, and educational tools that combine text, video, and interactive content for richer learning experiences.
• Multimodal AI models are often implemented using deep learning techniques, which allow the model to learn complex representations of the different data modalities and their interactions.
• As a result, these models can capture the rich, diverse information present in real-world scenarios, where data often comes in multiple forms.

Why is it in the News?

Predictive AI is revolutionizing data analysis, decision-making, and industry leadership, offering businesses unprecedented insights and strategic advantages.

What is Predictive Artificial Intelligence (AI)?

• Predictive artificial intelligence (AI) utilizes machine learning techniques to analyze historical data and forecast future events, distinguishing it from traditional AI focused solely on retrospective analysis.
• This cutting-edge technology employs advanced algorithms and machine learning models to sift through extensive datasets, identifying subtle patterns and trends.
• Unlike conventional approaches, Predictive AI doesn't just analyze data; it transforms it into actionable insights, enabling organizations to:
  • Anticipate future outcomes,
  • Predict market shifts, and
  • Make strategic decisions with unprecedented foresight.
• By continuously learning from past data and adapting to changing trends, Predictive AI becomes an invaluable tool, guiding businesses through uncertain landscapes.

How Predictive AI Work?

• Leveraging Big Data: Predictive AI relies on access to extensive datasets, often referred to as "big data," as larger datasets typically lead to more accurate analyses.
• Utilizing Machine Learning (ML): As a subset of AI, ML involves training computer programs to analyze data autonomously, without human intervention.
  • In the realm of predictive AI, ML algorithms are applied to vast datasets to extract valuable insights.
• Autonomous Processing: Predictive AI models are capable of autonomously processing massive datasets, eliminating the need for human oversight.
• Pattern Recognition: Through ML techniques, predictive AI learns to recognize patterns within datasets, associating specific data points or occurrences with potential future events.
  • By examining numerous factors, predictive AI can identify intricate patterns indicative of recurring events, enabling organizations to anticipate future outcomes effectively.

Difference Between Predictive AI and Generative AI:

• Predictive AI and generative AI both employ machine learning techniques and leverage extensive datasets to generate their outputs.
• However, while predictive AI utilizes machine learning to forecast future outcomes, generative AI employs machine learning to produce original content.
• For instance, a predictive AI model may inform fishermen about impending storms, whereas a generative AI model may craft a fictional narrative depicting various scenarios involving weather and fishing expeditions.
• While both types of AI rely on statistical analysis to discern patterns, their objectives, machine learning methodologies, and applications differ significantly.

Various Applications of Predictive AI:

• Assessing the Impact of Natural Disasters: With the recent eruption of a volcano in Iceland, the potential repercussions on air travel echo concerns from a similar event in 2010, which disrupted flights across Europe.
  • Predictive AI leverages data analysis to identify patterns and anticipate the impact of such extreme weather events on air travel. Platforms like Yandex offer interactive maps for real-time monitoring of ash clouds post-eruption.
• Enhancing Oil and Gas Exploration: In the realm of oil and gas exploration, companies possess extensive historical geological data that can inform predictive AI systems.
  • By analyzing past drilling successes, these systems can predict optimal locations for new oil wells.
    • For instance, Saudi Aramco utilizes its meta-brain generative AI to optimize drilling plans, analyze geological data, and forecast drilling outcomes accurately.
• Inventory and Supply chain management: Predictive AI aids in inventory and supply chain management by identifying peak consumer demand periods, facilitating proactive stock adjustments, and optimizing resource allocation to address fluctuations in road congestion and meet increased user demands.
• Marketing campaigns: Just as predictive AI can anticipate user or customer behavior, it can help prognosticate what kinds of content or products prospective customers may be interested in.
• Advancing Medical Research: Predictive AI plays a pivotal role in drug discovery, a cornerstone of contemporary medical research.
  • Pharmaceutical companies are increasingly collaborating to leverage predictive AI models for analyzing vast datasets and identifying potential drug candidates. Initiatives like the 'MELLODDY Project', supported by the EU Innovative
  • Medicines Initiative and multiple pharmaceutical firms, exemplify this collaborative effort in pooling data and leveraging predictive AI for drug discovery.

Why in the News?

The United Kingdom hosted a major Artificial Intelligence (AI) meeting, bringing together political leaders and technological professionals to explore the potential benefits and risks of this fast-evolving technology.

About the Bletchley Declaration:

• The Bletchley Declaration provides a comprehensive overview of the worldwide perspective on the potential benefits and risks associated with artificial intelligence (AI).
• It underlines the necessity of aligning AI systems with human intentions and encourages a deeper exploration of AI's full capabilities.
• Furthermore, the document acknowledges the potential for significant harm caused by AI, whether intentional or unintentional, including the possibility of catastrophic consequences.
• The Bletchley Declaration places great emphasis on safeguarding human rights, promoting transparency, ensuring explainability, upholding fairness, ensuring accountability, establishing regulation, prioritizing safety, incorporating human oversight, adhering to ethical standards, addressing bias issues, safeguarding privacy, and protecting data.
• This document is a reflection of the intricate negotiations between nations with differing interests and legal systems, encompassing countries such as the United States, the United Kingdom, the European Union, and China.
• The Bletchley Declaration highlights the crucial role of civil society in addressing AI safety concerns, despite some criticism from civil society groups that felt excluded from the summit.
• It also places a significant responsibility on companies engaged in the development of cutting-edge AI systems, emphasizing the need to ensure their safety through rigorous testing, evaluation, and the implementation of appropriate measures.