Artificial Intelligence: Strengthening Indo-German Collaboration for Ethical and Responsible AI

On 24 March 2026, the Indo-German Working Group on Quality Infrastructure successfully convened the Indo-German Exchange on Artificial Intelligence (AI) in New Delhi and via virtual format, bringing together policymakers, standards organisations, and industry stakeholders from India and Germany. The exchange provided a timely platform to discuss the evolving role of AI in society and industry, and its implications for ethical, trustworthy, and standards-based AI ecosystems.

Key Outcomes of the Exchange

• A shared understanding of AI frameworks, including insights from the EU AI Act and India AI Mission, highlighting implications for ethical and responsible AI deployment
• Stronger alignment on AI standardisation efforts, with discussions on ongoing ISO/IEC JTC 1/SC 42 initiatives in India and Germany, focusing on interoperability and ethical AI principles
• Exploration of AI applications in quality infrastructure, including accreditation, certification, and management system standards such as ISO/IEC 42006 and ISO/IEC 42007
• Identification of priority areas for bilateral cooperation, including AI standardisation, policy alignment, and engagement with industry stakeholders to promote responsible adoption

The Exchange Brought Together Representatives From

• Government Ministries: Federal Ministry for Economic Affairs and Energy (BMWE), Indian Ministry of Consumer Affairs, Food and Public Distribution
• Standards Bodies: Bureau of Indian Standards (BIS), DIN Deutsches Institut für Normung e. V., DKE – German Commission for Electrical, Electronic & Information Technologies,
• Accreditation Body : Deutsche Akkreditierungsstelle (DAkkS)
• National Metrology Institute, Germany: Physikalisch-Technische Bundesanstalt (PTB)
• Industry Representatives: Siemens, VDMA, and other key stakeholders

Strengthening Indo-German Cooperation
The exchange reaffirmed the strategic importance of Indo-German collaboration in shaping ethical, interoperable, and standards-based AI ecosystems, supporting innovation, transparency, and responsible deployment across sectors.