Brief Context
Context Albania has become the first nation to appoint an AI-generated “minister” tasked with tackling corruption. About Albania’s Prime Minister Edi Rama announced the digital minister to his cabinet. The digital assistant is named ‘Diella meaning ‘Sun’ and has been given responsibility of taking all decisions related to the public tenders, making them 100% corruption-free.
Source Content
Syllabus: GS2/Governance/GS3/Science and Technology
Context
- Albania has become the first nation to appoint an AI-generated “minister” tasked with tackling corruption.
About
- Albania’s Prime Minister Edi Rama announced the digital minister to his cabinet.
- The digital assistant is named ‘Diella’ meaning ‘Sun’ and has been given responsibility of taking all decisions related to the public tenders, making them 100% corruption-free.
- The AI minister will also have the right to assess tenders and hire talents from across the world.
- Origins as a virtual assistant: Diella was initially introduced in January as an AI-powered digital assistant, designed to resemble a woman dressed in traditional Albanian attire.
- It was meant to help citizens navigate the official e-Albania platform, which offers access to documents and services.
- Corruption challenges in Albania: Public tenders in Albania have historically been at the centre of corruption scandals.
- The country has become a hub for international criminal networks laundering profits from drug and arms trafficking, with corruption reportedly reaching into senior levels of government.
What is Artificial Intelligence (AI)?
- It refers to the hypothetical intelligenceof a machine that possesses the ability to understand or learn any intellectual task that a human being can.
- It is a type of artificial intelligence (AI) that aims to mimic the cognitive abilities of the human brain.
- Artificial intelligence allows machines to model, or even improve upon, the capabilities of the human mind.
How AI Can be Used in Public Service?
- Governance and Administration: AI chatbots and NLP(Natural Language Processing) tools can be used for quick response to citizen complaints.
- AI-based anomaly detection in tax filings, subsidies, and public procurement.
- Healthcare: AI models for early disease detection (e.g., TB, cancer screening).
- Telemedicine: AI-powered virtual assistants for rural healthcare access.
- Education: AI-driven adaptive platforms tailoring lessons to student needs.
- Automated Assessments: Reducing teacher workload and providing quick feedback.
- Agriculture:
- Precision Farming: AI-driven advisories on soil health, weather, and pest control.
- Market Forecasting: Price prediction models for farmers.
- Supply Chain Optimization: Minimizing post-harvest losses using AI logistics solutions.
- Law and Order: AI-based crime pattern analysis and hotspot mapping.
- Facial Recognition & Surveillance: Identifying suspects in public safety operations.
- Judiciary: AI-assisted case management, reducing pendency by automating routine documentation.
- Urban Governance: AI for traffic management, waste disposal, and energy efficiency.
- Disaster Management: Early warning systems using AI in flood, cyclone, or earthquake prediction.
- Welfare Schemes & Social Sector: AI to identify genuine beneficiaries, reduce leakages in PDS, MGNREGA, etc.
- Financial Inclusion: AI in digital banking and micro-credit risk assessments.
Concerns
- Bias & Discrimination: AI trained on data may develop biases and can discriminate against certain groups.
- Data Privacy: India lacks a comprehensive framework for sensitive citizen data despite the Digital Personal Data Protection Act, 2023.
- Accountability Gap: If AI makes a wrong decision, it’s unclear who is responsible — programmer, operator, or government.
- Job Displacement: Automation may replace lower-level administrative and clerical jobs.
- Overdependence on Technology: Risk of ignoring human judgment, empathy, and contextual understanding.
- Cybersecurity Threats: AI systems vulnerable to hacking, manipulation, or adversarial attacks.
- Dependence on Foreign Tech Firms: Risk of “digital colonization” if India relies too much on external AI companies.
Government Initiatives
- India AI Mission (2024): It has a budget of ₹10,300 crore over five years.
- A key goal is the creation of a high-end common computing facility with 18,693 GPUs.
- India’s AI Models & Language Technologies: The government is facilitating the development of India’s own foundational models, including Large Language Models (LLMs) and problem-specific AI solutions tailored to Indian needs.
- BharatGen: The world’s first government-funded multimodal LLM initiative, BharatGen was launched in 2024.
- Sarvam-1 AI Model: A large language model optimised for Indian languages, Sarvam-1 has 2 billion parameters and supports ten major Indian languages.
- Hanooman’s Everest 1.0: A multilingual AI system developed by SML, Everest 1.0 supports 35 Indian languages, with plans to expand to 90.
- AI Centers of Excellence: Establishing dedicated AI hubs and innovation centers across the country to support AI startups and research.
- India’s Digital Public Infrastructure (DPI): Combines public funding with private sector innovation to drive digital transformation.
- Aadhaar, UPI, and DigiLocker serve as the foundation of India’s DPI.
- Intelligent solutions are being integrated into financial and governance platforms to enhance DPI.
- e-Courts Project: Initiated by the Supreme Court of India to modernize judicial functions through digital innovation.
- Phase III: Integrates advanced AI solutions to improve case management and administrative efficiency in courts.
Conclusion
- India’s rapid AI advancements are driven by strong government initiatives, positioning it as a global AI powerhouse.
- A dedicated task force can be appointed to study and recommend the use of AI in public service and justice administration.
- A balanced approach must be taken to ensure AI tools respect privacy, civil liberties, and ethical standards, while preventing misuse.
Source: AIR