Blue Economy, Responsible AI: G-20 Auditors Agenda At Three-Day Meet In Guwahati

According to a statement, CAG Girish Chandra Murmu will chair the G-20 Supreme Audit Institutions or G-20 SAI meeting.

The delegates from G20 member countries, guest nations and other International Organizations would attend the event.

New Delhi: As part of India's G20 presidency, the Comptroller and Auditor General (CAG) of India will host a three-day meeting on the blue economy and responsible artificial intelligence (AI) in Guwahati, Assam, starting today.

According to a statement issued by the government, CAG Girish Chandra Murmu will chair the G-20 Supreme Audit Institutions or G-20 SAI meeting. The delegates from G20 member countries, guest nations and other International Organizations would attend the event.

In addition, the event will also see the participation of the SAIs of Australia, Brazil, Egypt, Indonesia, Oman, the Republic of Korea, Russia, Saudi Arabia, Türkiye, and the United Arab Emirates.

Guwahati, known as the Gateway to Northeast India, is the major cultural, political, educational and commercial hub. It is known for its rich culture and tradition, the celebration of festivals, cuisine, and people and its cosmopolitan nature.

“Under the guiding philosophy for India’s presidency of G20, Vasudhaiva Kutumbkam — One Earth, One Family, and One Future, the CAG has proposed the collaboration of SAI20 engagement group on two priority areas — blue economy and responsible AI,” the release said.

During the course of the meeting, SAI India will present the concept themes on the blue economy and responsible artificial intelligence (AI). "There shall be further sharing of experiences by the participant SAIs including member SAIs and guest SAIs of G20," the release further stated.

Blue Economy is the sustainable use of ocean resources for economic growth, improved livelihoods, and jobs while preserving the health of our ecosystem.

Responsible AI, on the other hand, is a governance framework aimed at what data can be collected and used, how AI models should be evaluated, and how to best deploy and monitor models. 

The framework can also define who is accountable for any negative outcomes of AI. 

(With agency inputs)