TY - JOUR
T1 - Digital tools in evaluation
T2 - Addressing ethical risks and policy gaps in South Africa
AU - Matlala, Lesedi Senamele
N1 - Publisher Copyright:
© The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
PY - 2025
Y1 - 2025
N2 - Digital tools have enhanced efficiency, scalability, and real-time insights in evaluation practices. Yet, these advancements introduce serious ethical risks—especially in South Africa—such as data privacy violations, coercive consent mechanisms, algorithmic bias, and diminished evaluator autonomy. This study aims to critically examine these ethical risks and identify gaps in existing policy and practice frameworks. Using a qualitative research design, it draws on semi-structured interviews with evaluators across government, non-governmental organizations, Voluntary Organizations for Professional Evaluation, academia, and private consultancies. The findings reveal that ethical risks are systemic and worsened by the absence of clear, context-specific digital evaluation guidelines. Although frameworks like the Protection of Personal Information Act and the National Evaluation Policy Framework offer a legal baseline, they fall short in addressing digital complexity. The study proposes a dedicated ethical governance model tailored to digital evaluation, supported by local artificial intelligence standards and enhanced evaluator training. It contributes actionable insights to support ethical, inclusive, and accountable digital evaluation practices in South Africa.
AB - Digital tools have enhanced efficiency, scalability, and real-time insights in evaluation practices. Yet, these advancements introduce serious ethical risks—especially in South Africa—such as data privacy violations, coercive consent mechanisms, algorithmic bias, and diminished evaluator autonomy. This study aims to critically examine these ethical risks and identify gaps in existing policy and practice frameworks. Using a qualitative research design, it draws on semi-structured interviews with evaluators across government, non-governmental organizations, Voluntary Organizations for Professional Evaluation, academia, and private consultancies. The findings reveal that ethical risks are systemic and worsened by the absence of clear, context-specific digital evaluation guidelines. Although frameworks like the Protection of Personal Information Act and the National Evaluation Policy Framework offer a legal baseline, they fall short in addressing digital complexity. The study proposes a dedicated ethical governance model tailored to digital evaluation, supported by local artificial intelligence standards and enhanced evaluator training. It contributes actionable insights to support ethical, inclusive, and accountable digital evaluation practices in South Africa.
KW - algorithmic bias
KW - digital evaluation
KW - ethical governance
KW - monitoring and evaluation
UR - https://www.scopus.com/pages/publications/105023880144
U2 - 10.1177/13563890251378471
DO - 10.1177/13563890251378471
M3 - Article
AN - SCOPUS:105023880144
SN - 1356-3890
JO - Evaluation
JF - Evaluation
ER -