Stepping back from Data and AI for Good - current trends and ways forward
Bibliographic Data
| ID | 5261027 |
|---|---|
| Authors | Ville Aula (0000-0001-7666-2121, London School of Economics and Political Science, corresponding author), James Bowles (0000-0003-1473-6329, University of Birmingham) |
| Year | 2023 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517231173901 |
| OpenAlex | W4382204791 |
| Language | EN |
| Citations received | 8 |
| References cited | 32 |
Various 'Data for Good' and 'AI for Good' initiatives have emerged in recent years to promote and organise efforts to use new computational techniques to solve societal problems. The initiatives exercise ongoing influence on how the capabilities of computational techniques are understood as vehicles of social and political change. This paper analyses the development of the initiatives from a rhetorical slogan into a research program that understands itself as a 'field' of applications. It discusses recent academic literature on the topic to show a problematic entanglement between the promotion of initiatives and prescriptions of what 'good' ought to be. In contrast, we call researchers to take a practical and analytical step back. The paper provides a framework for future research by calling for descriptive research on the composition of the initiatives and critical research that draws from broader social science debates on computational techniques. The empirical part of the paper provides first steps towards this direction by positioning Data and AI for Good initiatives as part of a single continuum and situating it within a historical trajectory that has its immediate precursor in ICT for Development initiatives
Data science · Engineering ethics · Management science · Political science · Politics · Public relations · Rhetorical question · Slogan · Social media · Sociology · World Wide Web · Computer Science · Engineering · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Social Media and Politics
Commodifying compassion in the digital age
An instrument constituency of data science—the case of Data for Good initiatives in the UK nonprofit sector
Generative AI, generating crisis
An elemental ethics for artificial intelligence
Gender data for good? Partnerships between tech companies and humanitarian and development organizations
Ethical strategic framing of algorithmic authority in global organizations
The ethics of AI value chains
How to Spark Joy
Science in action
Toward Critical Data Studies
How to Design AI for Social Good
Nonhuman humanitarianism
‘AI for Social Good’
Beyond ‘AI for Social Good’ (AI4SG)
The logic of domains
Conceptualizing the ICT Artifact
Unesco, ICT corporations and the passion of ICT for development
STS, Meet Data Science, Once Again
What is data justice? The case for connecting digital rights and freedoms globally
Critical Data Studies
Big data for climate action or climate action for big data
| Unique citing works | 8 |
|---|---|
| Citations per year | 4 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |