TY - JOUR
T1 - Ethical and transparent use of generative Artificial Intelligence (AI)
T2 - Ethics letter three (3) from the African Independent Ethics Committee (AIEC)
AU - Omorogiuwa, Tracy B.E.
AU - Mugumbate, Rugare
AU - Harms-Smith, Linda
AU - Naami, Augustina
AU - Diraditsile, Kabo
N1 - Publisher Copyright:
© National Association of Social Workers Zimbabwe/Author(s)
PY - 2025
Y1 - 2025
N2 - This letter targets authors, reviewers, editors, teachers, researchers, practitioners and students. In this letter, generative Artificial Intelligence (AI) means computer-aided creation of text, images, data or results in ways that mimic human production. AI is a generator of possible meanings, which may be correct or incorrect, rather than a definitive source or reference. It generates responses based on patterns in the data it has been trained on, but it lacks the ability to verify facts or context like a human would. Generative AI relies largely on universalised and dominant Western knowledge and ideological positions, shaped by coloniality, capitalism and patriarchy. Furthermore, the data it is trained on often contains very little, and at times no, African content. The trainers are also rarely Africans. Thus, rich African culture and values that scholars are currently advocating are left out. Ubuntu ideologies must be upheld to break out of colonialisation. This letter contains guidelines and requirements for the ethical use of generative AI in scholarly and research related activities.
AB - This letter targets authors, reviewers, editors, teachers, researchers, practitioners and students. In this letter, generative Artificial Intelligence (AI) means computer-aided creation of text, images, data or results in ways that mimic human production. AI is a generator of possible meanings, which may be correct or incorrect, rather than a definitive source or reference. It generates responses based on patterns in the data it has been trained on, but it lacks the ability to verify facts or context like a human would. Generative AI relies largely on universalised and dominant Western knowledge and ideological positions, shaped by coloniality, capitalism and patriarchy. Furthermore, the data it is trained on often contains very little, and at times no, African content. The trainers are also rarely Africans. Thus, rich African culture and values that scholars are currently advocating are left out. Ubuntu ideologies must be upheld to break out of colonialisation. This letter contains guidelines and requirements for the ethical use of generative AI in scholarly and research related activities.
KW - Africa
KW - Artificial Intelligence (AI)
KW - development
KW - ethics
KW - practice
KW - research
KW - social work
UR - https://www.scopus.com/pages/publications/105013986746
U2 - 10.4314/ajsw.v15i1.11
DO - 10.4314/ajsw.v15i1.11
M3 - Article
AN - SCOPUS:105013986746
SN - 2409-5605
VL - 15
SP - 100
EP - 103
JO - African Journal of Social Work
JF - African Journal of Social Work
IS - 1
ER -