The future of digital innovation depends on self-reliant, domain-specific AI capabilities. In this context, bring out the key considerations in developing indigenous AI models and tools. Suggest measures to build an enabling ecosystem for AI innovation in India. What initiatives have been taken by the government in this regard?
Introduction
Artificial Intelligence is a double edged sword.
7 words
Main Body
Through, if used for welfare it can lead to a transformative Industrial Revolution 4.0. Development of Indigenous AI models: (1) To ensure digital innovation => AI based tools for digital payment, seamless application and biometric identification (2) Data sovereignty - indigenous model will reduce charges of leakage and security threat => legal threats, zero hour vulnerabilities of foreign AI models. (3) Improved localised usage through vernacular language => BHASHINI AI model for translation (4) Improved service delivery of government => DigiLocker, JAM trinity along with blockchain, AI tool, cost savings (5) Adoption of Frontier technologies like Quantum AI will improve data security and encryption (Quantum key distribution) Measures to adopt- Enabled ecosystem on AI: (1) Increased spending on R&D from the current 0.64% ADP (2) Private sector innovation in field => chaebol in South Korea (3) Better international collaboration => GPAI, India AI summit, Paris summit (4) National policy for AI adoption.
PATHAK
Science and Technology
Emerging Tech
Artificial Intelligence
159
Total words
1
Paragraphs
analytical, structured
Tone