Artificial intelligence.

Research area 01 of 06

Machine learning, language technology and responsible AI, built on Liberian data and Liberian questions.

Join this area Meet the groups

3 groups · 14 members · All six areas

3 groups. One area.

Each group follows one research question, led by a principal investigator, with each member’s part in the work named in the standard contributor roles.

Sample groups, members and contact details, shown while the first groups form.

Recruiting

Liberian Languages NLP Group

Speech and text tools for Kpelle, Bassa and Liberian English

Building open datasets and models so that digital services can listen and answer in the languages Liberians speak.

  • Natural language processing
  • Speech recognition
  • Low-resource languages
Field (OECD FORD)
1.2 Computer and information sciences; 6.2 Languages and literature
SDG target
10.2 · Social, economic and political inclusion of all
Standards
UNESCO AI Ethics · FAIR data
Members
5, led by Dr. Garmai Kollie

Members

Active

Responsible AI & Public Services

Where can AI help Liberia’s ministries, and under what safeguards?

Testing small, explainable AI tools against real public-service tasks, with a risk assessment before any of them is used.

  • AI governance
  • Public sector
  • Risk assessment
Field (OECD FORD)
1.2 Computer and information sciences; 5.6 Political science
SDG target
16.6 · Effective, accountable and transparent institutions
Standards
ISO/IEC 42001 · OECD AI Principles
Members
5, led by Dr. Augustine Sumo

Members

Active

Agri-Vision Lab

Crop disease detection from smartphone photos for smallholder farmers

Training vision models on photos taken with farmers in the field, small enough to run offline on an ordinary phone.

  • Computer vision
  • Agriculture
  • Edge AI
Field (OECD FORD)
1.2 Computer and information sciences; 4.1 Agriculture, forestry and fisheries
SDG target
2.3 · Productivity and incomes of small-scale food producers
Standards
ISO/IEC 22989 · FAIR data
Members
4, led by Dr. Comfort Wesseh

Members

The standards we work to.

Research in artificial intelligence follows the published international standards below, so its methods and results can be compared and trusted anywhere.

  • ISO/IEC 42001:2023

    Artificial intelligence management systems

    Requirements for running AI responsibly inside an organisation, from risk to oversight.

  • ISO/IEC 22989:2022

    AI concepts and terminology

    The shared vocabulary for describing AI systems and their life cycle.

  • UNESCO, 2021

    Recommendation on the Ethics of Artificial Intelligence

    The global framework adopted by UNESCO’s 193 member states.

  • OECD, 2019 (updated 2024)

    OECD AI Principles

    Trustworthy AI that respects human rights and democratic values.

Across every group

  • ANSI/NISO Z39.104-2022

    CRediT, Contributor Roles Taxonomy

    Each member’s part in the work, named in the fourteen standard roles.

  • OECD, Frascati Manual 2015

    Fields of Research and Development

    The international classification each group is filed under.

  • United Nations, 2015

    Sustainable Development Goals

    Each group names the SDG target its work serves.

  • World Conference on Research Integrity, 2010

    Singapore Statement on Research Integrity

    Honesty, accountability, professional courtesy and good stewardship in research.

Join the artificial intelligence groups.

Send your details and the areas you work in from the sign-up; this area is filled in for you.

Join this area