Joanna Shields, Chair of the Plenary of the Multi-stakeholder Expert Group and Co-Chair of the PMAI Steering Committee, welcomes the progress made at the second summit of the Global Partnership on Artificial Intelligence held in Paris November 11 and 12, 2021.

Renaud Vedel, the Incoming Co-Chair of the GPAI Steering Committee, gives his assessment of the second Global Partnership on Artificial Intelligence summit meeting, and outlines its future development path.

Founder and CEO of start-up Blue Sky Analytics, Abhilasha Purwar discusses the importance of using satellite data and AI in the fight against climate change.

Thomas Hahn, Chief expert software at Siemens, defends the thesis of a federated regulatory approach to AI at the European level. Many initiatives are currently underway.

Daniela Battisti, Head of International Relations at the Italian Department for Digital Transformation, shares her enthusiasm for the work already done within the GPAI, and discusses future areas for consideration. Her wish list includes examining the impact of Artificial Intelligence on public services.

Yoichi Iida, Director of International Research and Policy Coordination, Ministry of Internal Affairs and Communications of Japan (MIC-Japan), reviews the achievements of GPAI and discusses expectations for the future.

Francis Bach, a researcher at INRIA and specialist in machine learning, looks back at the main successes of Artificial Intelligence, and discusses the limitations of this technology in certain areas.

Latin America has specificities in political, economic and cultural terms, not to mention a growing problem of inequality. This region can contribute to the development of AI even beyond its borders by bringing a diversity perspective from other regions of the world.

In an interview, Jeni Tennison, Co-Chair of the Data Governance Working Group for the GPAI, discusses the need for fair data sharing through the creation of global data trusts.

How can AI be used to combat pandemics like COVID-19? How can similar threats be prevented in the future? This was the problem that the AI and Pandemic Response Working Group studied and reported on in its 2021 report.

The role of CEIMIA extends beyond purely coordination to working closely with GPAI experts to provide seed funding and actively identify knowledge partners, and even financial partners.

The Innovation and Commercialization Working Group assesses and recommends practical tools and methods that private actors and research organisations can use to stimulate international collaboration in AI-related R&D and innovation, with particular focus on SMEs.

There will be no battle between man and machine. Instead, GPAI experts are advocating a form of collaboration that has yet to be identified against a background of profound transformation in work practices as a result of AI. It’s a process that will require a lengthy socialisation phase for employees.

Floods, earthquakes, pandemics: Artificial Intelligence can help to solve the challenges of climate change and epidemics. But it is important that we act quickly and develop a globally coordinated approach to these issues. Watch the full interview with Yoshua Bengio