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.
To gain a clearer understanding of the challenges posed by AI for the future on work. That is the ambition of the Living Lab virtual laboratory that GPAI experts are currently working on. A genuine co-creation ecosystem for people-centric research and innovation.
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.
How can AI improve ethics in the world of work? In the absence of specific studies, the Future of Work expert group set out to answer that question this year.
The GPAI Data Governance Working Group is committed to ensuring that AI is compatible with human rights, inclusion, diversity and economic growth, at the same time as benefiting society and respecting the principles of sustainable development.
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.
The Responsible AI Working Group makes strides to tackle global warming, while minimizing greenhouse gas emissions generated by AI applications.
AI could play a major role in the drug discovery process. The current ecosystem is preventing this technology from flourishing. The group of GPAI
experts have proposed a ready-to-use and balanced roadmap for creating the right
incentives and better directing public procurement and support where markets fail to address
pressing issues.
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.
Jordan Zed, GPAI Steering Committee Co-Chair, recalls the work
accomplished over the past eighteen months by PMIA experts to promote responsible
artificial intelligence but also the role that must playing governments in this area.
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