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- š Indiaās AI Revolution Has a Moral CompassāAnd It's Powered by IIT Madras
š Indiaās AI Revolution Has a Moral CompassāAnd It's Powered by IIT Madras
š Story Highlights

IIT Madras is leading Indiaās charge into responsible and inclusive AI.
Launched CeRAI (Centre for Responsible AI) with a $1M contribution from Google.
Tackling AI bias, privacy, explainability, and Indian language inclusion.
Creating tools, frameworks, and open datasets for ethical AI development.
Building a multilingual, nationwide dataset across 22 scheduled Indian languages.
Partnering with top institutions like NASSCOM, CMC Vellore, Vidhi Legal, and more.
š§ Quick Context: Who, What, When, Where & Why
Who: Indian Institute of Technology Madras (IIT Madras)
What: Leading the development of Responsible and Inclusive AI
When: CeRAI officially launched in April 2023
Where: Chennai, India ā but making global waves
Why: To ensure AI supports humanity, not harms itāand speaks every Indian voice
š¬ Letās Begin with a Scene...
Picture this:
An AI chatbot helps a farmer in Tamil Nadu access government subsidies... in Tamil.
A voice assistant reads medical advice in Assamese to a patient in a remote village.
A teacher in Rajasthan uses AI-generated quizzes in Marwari for her students.
This isnāt sci-fi. This is IIT Madras, turning Indiaās linguistic diversity into an AI superpower.
š£ļø Making AI Multilingual, Open & Inclusive
India speaks in hundreds of languages and dialectsāand now, AI will too.
Hereās what IIT Madras is doing:
Building open-source tools for:
Natural Language Understanding & Generation
Translation, Transliteration
Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Gathering 15,000+ hours of speech data from 400+ districts
Creating a parallel corpus with 2.2 million translation pairs
Training AI to understand and respond in 22 Indian languages
ā”ļø In short: Theyāre not just building smarter AI. Theyāre building Indiaās AI.
š§ AI Thatās Not Just SmartāBut Ethical

Now for the bigger question: Can AI be trusted?
IIT Madras says yesābut only if it's built responsibly. Thatās why they created:
š The Centre for Responsible AI (CeRAI)
Goals of CeRAI:
Develop ethical AI systems for real-world deployment
Ensure AI models are explainable, fair, and privacy-conscious
Publish white papers, research, datasets, and toolkits
Craft sector-specific policy recommendations for:
Healthcare
Education
Finance
Manufacturing
And theyāre doing it with heavy hitters like:
Google ā CeRAIās first platinum member with a $1 million grant
Government of India ā Ministry of Electronics & IT backing it
Experts like Prof. Balaraman Ravindran & Prof. V. Kamakoti guiding the mission
š„ Building a National AI Brain Trust

AI canāt be built in a vacuum. Thatās why CeRAI is building alliances that matter.
š¤ Collaborations in Action
NASSCOM ā Creating training content and skilling programs
Vidhi Legal ā Drafting ethical and participative AI frameworks
CMC Vellore ā Exploring responsible AI in healthcare
SICCI & TIE ā Engaging industry leaders and mentoring AI startups
RIS (Ministry of External Affairs) ā Connecting with global think tanks
This is how tech, policy, and people come together to shape AIās future.
š” Insights from the Ground
āWe need to assign responsibility to AI tools and interpret the reasons for the output the AI gives.ā
ā Prof. V. Kamakoti, Director, IIT Madras
āExplainable predictions are crucial for AI deployed in critical sectors like healthcare and finance.ā
ā Prof. Balaraman Ravindran, Head of CeRAI
Theyāre not just building AI. Theyāre building trustworthy, accountable, and human-first systems.
š¬ Why It Matters to You and What Actions You Can Take?
Hereās your action playbook from this edition:
ā
Build with Ethics in Mind
ā If you're working on AI, prioritize explainability, privacy, and inclusiveness from Day 1.
ā
Explore the Open Datasets
ā Use and contribute to IIT Madrasās multilingual and speech datasets to build regional tech solutions.
ā
Create for the Margins
ā Design products that include rural, linguistically diverse, and underrepresented groups.
ā
Partner Smart
ā Engage with ethical AI organizations (like CeRAI) to ensure your startup or institution stays future-proof.
ā
Skill Up
ā Tap into upcoming CeRAI-led training programs and Responsible AI toolkits for practical upskilling.
ā
Start the Conversation
ā If you're a policymaker, developer, or student, raise awareness about ethical AI in your communities.
⨠Final Word
āTechnology is best when it brings people together.ā
ā Matt Mullenweg, Founder of WordPress
Indiaās AI journey isnāt just about the future of machinesāitās about the future of humans.
Letās build AI that includes everyone, understands everyone, and respects everyone. šš¤š®š³
š If this inspired you, share it forward. Because the world deserves AI with a conscience.
#ThinkAheadWithAI | #ResponsibleAI | #IITMadras
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5 AI tools that align with the theme of enhanced fan engagement, data storytelling, and immersive sports experiences
š§ 1. IBM watsonx.ai
Purpose: Build, train, and deploy AI models ā including LLMs ā for enterprise-grade applications.
Relevance: Powers the Ferrari appās AI-generated race summaries and driver reflections.
š§ Use it for: Real-time insights, data summarization, and customer-facing AI features.
š 2. IBM watsonx.data
Purpose: A fit-for-purpose data store optimized for governed data access and AI workloads.
Relevance: Enables Ferrari to analyze telemetry, track conditions, and race data at scale.
š§ Use it for: Handling and visualizing massive datasets with tight compliance.
š¬ 3. IBM Granite LLMs
Purpose: Family of large language models developed by IBM for enterprise-grade generative AI.
Relevance: Generates natural language insights and historical comparisons for races.
š§ Use it for: Human-like narratives from structured data ā perfect for sports and media.
šļø 4. Fan360 by NVIDIA + Deloitte
Purpose: AI platform to unify and personalize sports fan experiences using real-time data.
Relevance: Similar to IBMās approach, it creates tailored content and immersive experiences.
š§ Use it for: Hyper-personalized engagement strategies across fan touch points.
Purpose: AI and computer vision platform that delivers enhanced live sports visuals and analytics.
Relevance: Used in NBA and Premier League ā imagine F1 live streams with augmented stats overlays.
š§ Use it for: Advanced fan-facing visualizations and second-screen experiences.
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