Ethical AI and data solutions

ethical AI right (2) (1)-min

At MSC, we apply artificial intelligence (AI) and advanced data analytics to support inclusive, ethical, and high-impact development. We enable governments and development institutions to improve governance and strengthen public service delivery. We also help governments solve sector-specific challenges across agriculture, health, financial services, and climate resilience.

Our approach prioritizes ethical deployment and ensures that AI systems are transparent, accurate, feasible, and aligned with the public good.

We embed privacy-preserving techniques, fairness frameworks, and adaptive learning into every solution to safeguard rights and build trust. We adapt our tools to meet the contextual realities of underserved populations, from low-resource settings to national systems.

MSC combines technical depth with policy expertise to help institutions adopt AI responsibly and manage data sustainably. Our work involves strategy development, infrastructure design, and applied use cases. These practices produce smarter decisions, robust programs, and measurable outcomes.

We believe AI and data must serve people and not just systems. Our solutions drive inclusive development and maintain the highest ethics, transparency, and accountability. We work with our partners to ensure AI solutions are human-centered, context-sensitive, and equity-focused.

To learn more about our work and capabilities click here. 

Our core services include

AI strategy and responsible deployment

We craft national and institutional AI strategies, conduct AI maturity assessments, and identify scalable, high-impact use cases. Our frameworks integrate fairness, transparency, and regulatory compliance. We also promote responsible AI adoption.

Advanced analytics and predictive insights

We use machine learning, econometrics, and geospatial models for targeting, forecasting, segmentation, and optimization. Our work integrates these techniques with accessible AI and privacy-by-design approaches.

Generative AI and intelligent interfaces

We design AI-powered tools, such as multilingual chatbots, AI copilots, and content generators. These tools support frontline workers and enhance citizen engagement, especially in low-literacy or digitally underserved contexts.

Data infrastructure and open ecosystems

We develop strong data governance systems, consent frameworks, and interoperable data infrastructure to enable secure, usable, and rights-protective data ecosystems.

Decision support and real-time monitoring

We create intuitive dashboards and analytics platforms that combine real-time data, natural language processing (NLP), and visual insights. These support adaptive public program management and responsive decision-making.

Signature projects

Key publications

Meet our people

Kunj bihari

Kunjbihari Daga

Chief Architect

Deba

Debarshi Chakraborty

Senior Principal Architect
Swastik

Swastik Das

Senior Manager

FAQs

MSC’s ethical artificial intelligence (AI) and data solutions span five areas: AI strategy and responsible deployment; advanced analytics and predictive insights; generative AI and intelligent interfaces; data infrastructure and open ecosystems; and decision support and real-time monitoring. Across these areas, we apply AI and data analytics to support inclusive development, strengthen public services, and enable better decision-making. We prioritize privacy, fairness, transparency, and accountability across all our AI and data initiatives. 

Yes. MSC helps governments develop national and institutional artificial intelligence (AI) strategies tailored to their specific context and needs. Our work includes AI readiness assessments, the identification of scalable, high-impact use cases, and the development of frameworks for responsible AI adoption. 

MSC prioritizes responsible and inclusive artificial intelligence (AI) by embedding privacy-preserving techniques, fairness frameworks, and adaptive approaches into its assessments and solution designs. We also tailor AI tools to the needs of underserved populations and address issues of transparency, accountability, and equity. This technical approach is complemented by our policy and advisory expertise that supports responsible AI adoption across different institutional and social contexts.

MSC’s approach to data governance and privacy focuses on building systems that enable secure, responsible, and effective data use. This includes the development of data governance frameworks, consent frameworks, and interoperable data infrastructure that support secure and rights-protective data ecosystems. We apply these principles across our work with public and development institutions. 

MSC supports the use of artificial intelligence (AI) and data science in digital public infrastructure (DPI), which includes national identity systems. Our work explores how AI, data analytics, and transaction-level observability can help governments improve system integrity, identify risks, understand service delivery challenges, and make more informed decisions. Our recent work on national ID systems examines applications across the identity lifecycle, from enrolment and biometric quality to fraud detection and system monitoring.

MSC focuses on measurable outcomes when applying artificial intelligence (AI) and data analytics to development challenges. We use data, analytics, and real-world insights to support better decisions, strengthen programs, and assess whether solutions are delivering the intended results.

An artificial intelligence (AI) engagement with MSC can include strategy development, AI maturity assessments, use-case identification, infrastructure design, and applied AI solutions. Depending on the engagement, we also support institutions with the development and deployment of AI tools that are appropriate to their operational and institutional context.

Yes. MSC applies artificial intelligence (AI) and advanced data analytics to climate resilience and locally led adaptation. Our work explores how AI, data, and digital tools can help address climate-related challenges and strengthen decision-making for vulnerable communities and development programs.