‘New Delhi Declaration’ on artificial intelligence adopted.

New Delhi Declaration on artificial intelligence

• Representatives from 28 countries and the European Union adopted the Global Partnership on Artificial Intelligence (GPAI, pronounced g-pay).
• The ministerial declaration affirms the countries’ commitment to “principles for responsible stewardship of trustworthy AI rooted in democratic values and human rights and promoting trustworthy, responsible, sustainable and human-centred use of AI”
• India is hosting the summit, and will chair the GPAI grouping in 2024.
• The previous summit was held in Japan, which is the outgoing chair of GPAI.
• The previous summit had taken place before the popularity of ChatGPT and the buzz around AI grew exponentially.

About Global Partnership on Artificial Intelligence (GPAI)

• The Global Partnership on Artificial Intelligence (GPAI), ” is an international and diverse body that unites prominent experts from fields including science, industry, civil society, international organizations, and national governments who share a common commitment.
• Established in June 2020 with 15 member countries.
• Today GPAI has 29 members: Argentina, Australia, Belgium, Brazil, Canada, Czech Republic, Denmark, France, Germany, India, Ireland, Israel, Italy, Japan, Mexico, the Netherlands, New Zealand, Poland, the Republic of Korea, Senegal, Serbia, Singapore, Slovenia, Spain, Sweden, Turkey, the United Kingdom, the United States, and the European Union.
• India joined GPAI as a founding member on June 15, 2020.
• Built around a shared commitment to the OECD Recommendation on Artificial Intelligence, GPAI brings together engaged minds and expertise from science, industry, civil society, governments, international organisations and academia to foster international cooperation.
• The GPAI Secretariat, hosted at the Organisation for Economic Co-operation and Development (OECD) in Paris.
• GPAI has a Council and a Steering Committee, supported by a Secretariat hosted by the OECD, and two Centres of Expertise:
  • Montreal (CEIMIA, the International Centre of Expertise in Montreal for the Advancement of Artificial Intelligence).
  • Paris (at INRIA, the French National Institute for Research in Digital Science and Technology).
• Currently, GPAI has four working groups on the themes of Responsible AI, Data Governance, the Future of Work, and Innovation and Commercialization.
• Objective
  • GPAI endeavours to bridge the gap between theoretical understanding and practical implementation of AI by endorsing cutting-edge research and applied endeavours in AI-related priorities.

GPAI Summits

• GPAI Montreal Summit 2020
• GPAI Paris Summit 2021
• GPAI Tokyo Summit 2022
• GPAI New Delhi Summit 2023

Responsible AI (RAI)

• Responsible AI (RAI) is grounded in a vision of AI that is human-centred, fair, equitable, inclusive and respectful of human rights and democracy, and that aims at contributing positively to the public good.
• RAI’s mandate aligns closely with that vision and GPAI’s overall mission, striving to foster and contribute to the responsible development, use and governance of human-centred AI systems, in congruence with the UN Sustainable Development Goals.

Data governance

• Data and data flows — including across borders — are an essential infrastructural resource for increasingly digitised economies.
• Data governance refers to diverse arrangements, including technical, policy, regulatory or institutional provisions, that affect data and their cycle (creation, collection, storage, use, protection, access, sharing and deletion) across policy domains and organisational and national borders. Data governance is one of the top policy priorities that governments must address, to maximise the benefits of data access and sharing, while addressing related risks and challenges.

Principles for responsible stewardship of trustworthy AI

1. Inclusive growth, sustainable development and well-being
2. Human-centred values and fairness
3. Transparency and explainability
4. Robustness, security and safety
5. Accountability

National policies and international cooperation for trustworthy AI

1. Investing in AI research and development
2. Fostering a digital ecosystem for AI
3. Shaping an enabling policy environment for AI
4. Building human capacity and preparing for labour market transformation
5. International cooperation for trustworthy AI