国产视频

Report / In Depth

Bridging the AI Governance Divide

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A new paper from 国产视频 and the Igarap茅 Institute examines the global gap in responsible artificial intelligence (AI) frameworks and the risks that emerge when AI policies and practices developed primarily for the Global North are exported to the Global South, where socioeconomic context is different and regulation and infrastructure tend to be less advanced.

Most artificial intelligence (AI) policies and practices have been developed in and for the Global North鈥攃ontributing to a growing divide between the countries that influence global AI governance and the countries that do not. If global AI governance continues to predominantly exclude the Global South, then economic and developmental disparities between upper-income and lower-income countries will worsen, according to a new policy brief by 国产视频 and the Igarap茅 Institute.

The brief calls on the G20 to narrow this 鈥淎I governance divide鈥 by taking the following three steps.

  1. Negotiate a statement on AI governance goals that reflects the priorities of Global South members and stakeholder groups.
  2. Convene national information and communication technology (ICT) ministers and other ministers responsible for overseeing the digital economy to discuss strategies for building shared policy frameworks and increasing policymaking capacity.
  3. Create an Equitable AI Development Forum that enables the joint development of AI capabilities among nations, knowledge-sharing, and the distribution of shared AI infrastructure such as datasets among countries.聽聽

鈥淭he G20 can help bridge the global AI governance divide鈥攅specially with Brazil holding the presidency now and soon South Africa taking those reins,鈥 said Gordon LaForge, a senior policy analyst at 国产视频 and co-author of the report. 鈥淭he members of this intergovernmental forum are the most influential countries in the Global North and Global South, representing more than 80 percent of the world鈥檚 economy.鈥

In the brief, 国产视频 and the Igarap茅 Institute describe the current AI governance divide and list the possible consequences that can stem from it. The brief stresses that without having a say in AI governance, developing countries may not be able to create homegrown AI ecosystems that advance sustainable development, and AI tools and policies made in and for the Global North would be ill-suited for the local circumstances of many countries in the Global South.

鈥淯nless developing countries have more power to shape AI governance, the technology will solely reflect the national and commercial interests of wealthy nations, often to the detriment of governments, businesses and societies with less power and fewer resources,鈥 said Robert Muggah, co-founder of the Igarap茅 Institute and co-author of the brief.

鈥淭he potential consequences of the AI governance divide are not confined to lower- and middle-income countries alone鈥攖hey are global,鈥 said Gabriella Seiler, AI and digital security advisor at the Igarap茅 Institute and co-author of the brief. 鈥淟abor displacement, government abuses of human rights, widening economic inequality, political destabilization鈥攖hese and other factors will drive conflicts and migration that will not stay neatly confined within national borders.鈥

The brief is published by the Think Tanks 20, or T20, a constellation of hundreds of organizations that produce, debate, and consolidate ideas on emerging challenges for the Group of 20, or G20. The issues featured in the brief were also developed as part of a Global Task Force on Predictive Analytics established by the Igarape Institute and 国产视频. The Global Task Force assembled some of the leading technologists, social scientists, and advocates from across the Americas, Africa, Asia, and Europe to develop principles for the safe and ethical design, development, and deployment of AI systems.聽

Learn more about the and .

More 国产视频 the Authors

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Robert Muggah

Co-Founder, Igarap茅 Institute

Grabiella Seiler
Gabriella Seiler

AI & Digital Security advisor with Igarap茅 and ITS Institutes

Programs/Projects/Initiatives

Bridging the AI Governance Divide