ΑΙhub.org
 

US Global AI Research Agenda report released


by
25 September 2024



share this:

Image by Alan Warburton / © BBC / Better Images of AI / Nature / Licenced by CC-BY 4.0

This week saw the release of two complimentary reports from the US Government: the Global AI Research Agenda and the AI in Global Development Playbook. These documents are designed to guide future research on artificial intelligence and its use in advancing UN Sustainable Development Goals. The aim is to “foster a holistic and coordinated approach to AI research and development that benefits all people”.

The Executive summary of the Global AI Research Agenda states that:

The Global AI Research Agenda recommends principles, priorities, and practices for AI research and development to advance safe, secure, and trustworthy development of AI systems in international contexts. It aims to strengthen collaboration in researching the interactions between individuals, communities, and society with AI systems, foster innovation, and support equitable access to the benefits of AI. The conclusions presented serve as a starting point to align a global research vision, in which research communities continuously assess the state of AI research, review current publications addressing the presented priorities, and identify gaps to guide future research, focusing on global needs.

The document contains a section outlining research priorities to advance safe, secure, inclusive, and trustworthy AI. These broadly align with the following themes:

  • Sociotechnical research
  • Inclusive research infrastructure
  • Research to support AI for global challenges
  • Fundamental research on AI, including AI safety, security, and trustworthiness
  • Research on AI’s global labor market implications

The report also details recommended practices for AI research, and provides a global perspective on what implementation practices could look like for research funders, research ecosystem hubs, and research teams.

The companion document – the AI in Global Development Playbook – is “a roadmap to develop the capacity, ecosystems, frameworks, partnerships, applications, and institutions to leverage safe, secure, and trustworthy AI for sustainable development”. The Playbook provides some practical guidance though a series of case studies which highlight existing initiatives and organizations doing exemplary work.

The recommendations of the Playbook focus around eight key areas:

  • Enhancing capacity, promoting AI-related skills across all sectors and levels, and protecting the workforce
  • Building trusted and sustainable digital infrastructure
  • Broadening access to data storage and compute resources
  • Creating representative, locally relevant datasets and preserving cultural heritage
  • Developing strategies to deliver the promise of AI in practice
  • Advancing good governance frameworks for the development and use of safe and rights-respecting AI systems
  • Fostering trust in AI through openness, transparency, and explainability
  • Deploying AI sustainably and for climate action

Read the reports in full



tags:


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



monthly digest

AIhub monthly digest: March 2025 – human-allied AI, differential privacy, and social media microtargeting

  28 Mar 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

AI ring tracks spelled words in American Sign Language

  27 Mar 2025
In its current form, SpellRing could be used to enter text into computers or smartphones via fingerspelling.

How AI images are ‘flattening’ Indigenous cultures – creating a new form of tech colonialism

  26 Mar 2025
AI-generated stock images that claim to depict “Indigenous Australians”, don’t resemble Aboriginal and Torres Strait Islander peoples.

Interview with Lea Demelius: Researching differential privacy

  25 Mar 2025
We hear from doctoral consortium participant Lea Demelius who is investigating the trade-offs and synergies that arise between various requirements for trustworthy AI.

The Machine Ethics podcast: Careful technology with Rachel Coldicutt

This episode, Ben chats to Rachel Coldicutt about AI taxonomy, innovating for everyone not just the few, responsibilities of researchers, and more.

Interview with AAAI Fellow Roberto Navigli: multilingual natural language processing

  21 Mar 2025
Roberto tells us about his career path, some big research projects he’s led, and why it’s important to follow your passion.

Museums have tons of data, and AI could make it more accessible − but standardizing and organizing it across fields won’t be easy

  20 Mar 2025
How can AI models help organize large amounts of data from different collections, and what are the challenges?

Shlomo Zilberstein wins the 2025 ACM/SIGAI Autonomous Agents Research Award

  19 Mar 2025
Congratulations to Shlomo Zilberstein on winning this prestigious award!




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association