Model Answer

Artificial Intelligence (AI) is increasingly being positioned not merely as a frontier technology but as a developmental instrument for addressing structural deficits in the Global South. At the India AI Impact Summit 2026, a series of AI Impact Casebooks showcased real-time deployments across agriculture, health, accessibility, education, and gender empowerment. These initiatives illustrate how AI can function as a developmental multiplier—enhancing state capacity, improving last-mile delivery, and democratizing access to services.

AI as a Developmental Multiplier in Key Sectors

1. Agriculture: Enhancing Productivity and Sustainability Agriculture in the Global South is characterized by small landholdings, climate vulnerability, and information asymmetry. AI platforms are directly addressing these constraints:

• MapMyCrop uses satellite imagery and predictive algorithms to estimate optimal harvest times, increasing sugarcane yields by up to 57%.
• Chemistry-aware crop yield prediction models analyze soil composition to reduce nitrogen use by 28%, aligning productivity with environmental sustainability.
• MetsaQ delivers voice-based agricultural advisories, with 42% women users in Odisha—demonstrating gender-inclusive extension services.

AI thus enhances farm incomes, reduces input costs, and promotes climate-smart agriculture—key for achieving SDG-2 (Zero Hunger).

2. Health: Democratizing Diagnostics Public health systems in developing nations often face shortages of specialists and diagnostic infrastructure. AI-enabled screening tools bridge this gap:

• Nayanamritham 2.0 integrates AI into Kerala’s diabetic retinopathy screening program, enabling early detection at the primary-care level.
• Cough Against TB (CATB) uses acoustic AI models to detect tuberculosis from cough samples, facilitating rapid triage in resource-poor settings.

Such tools reduce diagnostic delays, lower healthcare costs, and strengthen preventive care frameworks, thereby augmenting public health outreach.

3. Accessibility: Empowering Persons with Disabilities AI is also redefining assistive technologies through localized and inclusive innovations:

• PathPal provides instant spoken feedback for text and currency using Edge-AI, ensuring offline functionality for the visually impaired.
• SMARTON leverages computer vision and Optical Character Recognition (OCR) to convert complex documents into structured audio explanations, benefiting inclusive education ecosystems.

By leveraging Edge-AI—where processing occurs locally rather than on remote servers—these tools overcome connectivity constraints prevalent in rural areas.

4. Gender Empowerment and Legal Access AI solutions are addressing gender-based vulnerabilities and educational disparities:

• NyayaSakhi-SWATI offers AI-supported legal guidance to survivors of domestic violence, improving awareness of rights and legal recourse.
• AtenIA adopts a “phygital” mentorship model, increasing girls’ intent to pursue STEM careers from 9% to 76%.

AI thus acts as a catalyst for social justice by reducing information asymmetry and enabling agency among marginalized groups.

Challenges in Scaling AI for Development

Despite its promise, several structural concerns persist:

1. Digital Divide

Limited internet penetration, device access, and digital literacy can restrict reach, particularly among rural and marginalized populations.

2. Data Privacy and Security

Health and legal AI tools process sensitive personal data. Weak data protection frameworks may expose users to surveillance or misuse.

3. Algorithmic Bias

Training datasets may underrepresent marginalized communities, leading to discriminatory outcomes in diagnostics or legal advice.

4. Accountability and Transparency

Opaque “black-box” AI systems complicate grievance redressal and undermine trust in public deployments.

5. Fiscal and Institutional Capacity

Scaling AI solutions requires interoperable digital public infrastructure, sustained funding, and skilled personnel.

The AI Impact initiatives showcased at the India AI Impact Summit 2026 demonstrate that AI can meaningfully address developmental bottlenecks in agriculture, health, education, accessibility, and gender justice. For the Global South, AI represents not merely technological modernization but a pathway toward inclusive and sustainable development. However, realizing this potential requires robust governance, ethical safeguards, and a deliberate commitment to inclusivity—ensuring that AI remains a tool of empowerment rather than exclusion.