
Research reveals 9 essential plays to govern AI responsibly in a multipolar world
Artificial intelligence (AI) is emerging as a driver of innovation and a flashpoint of competition in an increasingly multipolar world.
Karla Yee Amezaga is Lead in the Data Policy team (Centre for the Fourth Industrial Revolution) and Lead of the "Resilient Governance and Regulation" working group of the AI Governance Alliance. She is originally from Mexico. She is passionate about exploring the ways in which AI, data and technology in general can promote digital transformation of governments, cross-sector collaboration, user-centered services, and inclusive development around the world. Prior to joining the Forum, Karla worked at the Inter-American Development Bank (IDB), supporting digital government and statistical capacity building projects. Before that, she worked at the World Bank, OECD, Ashoka Changemakers, and the Mexican Ministry of Foreign Affairs.
Karla holds a master’s degree in International Affairs from the University of California - San Diego (UCSD), and bachelor’s degrees in Political Science and in International Relations from the Autonomous Technological Institute of Mexico (ITAM).
Artificial intelligence (AI) is emerging as a driver of innovation and a flashpoint of competition in an increasingly multipolar world.
La equidad de datos es una responsabilidad compartida que requiere una acción colectiva para crear prácticas y sistemas de datos que conduzcan a resultados justos y equitativos para todos.
Data equity is a shared responsibility that requires collective action to create data practices and systems that promote fair and just outcomes for all.
The economic potential, transformative impact and rapid adoption of GenAI have led governments at all levels to invest in examining how to secure AI innovation in their jurisdictions whil...
在这个数据驱动的决策日益影响世界的时代,确保这些系统的公平和公正从未如此重要。人工智能模型和其他数据系统的训练,有时会导致最新数据系统的输出中存在历史偏见。
En una era en la que la toma de decisiones basada en datos determina cada vez más nuestro mundo, garantizar la justicia y la equidad en estos sistemas nunca ha sido más crítico. El entren...
In an era where data-driven decision-making increasingly shapes our world, ensuring fairness and equity in these systems has never been more critical. The training of AI models and other ...
Data is the key to unlocking valuable insights, staying ahead of emerging trends and gaining a competitive advantage in the current uncertain, volatile and dynamic global business landsca...