dc.date.accessioned |
2020-04-25 |
en |
dc.date.accessioned |
2022-08-17T13:03:29Z |
|
dc.date.available |
2022-08-17T13:03:29Z |
|
dc.date.issued |
2020-04-25 |
en |
dc.identifier.uri |
http://hdl.handle.net/20.500.11910/15280
|
|
dc.description |
Report for the Policy Action Network (PAN) Topical Guides: AI & Data Series 1, March |
en |
dc.description.abstract |
Data-driven technologies, including Artificial Intelligence (AI), are becoming more widely used in all domains of South African society. From private companies to non-profit organisations and government entities, the interest in data-driven models and systems for improving planning, decision-making and service delivery is steadily rising, motivated by both global trends in digitalisation and the competitive edge that such technologies appear to offer. |
en |
dc.format.medium |
Print |
en |
dc.subject |
ARTIFICIAL INTELLIGENCE (AI) |
en |
dc.subject |
INEQUALITY |
en |
dc.subject |
INCLUSIVE DEVELOPMENT |
en |
dc.title |
Introducing the series: can AI and data support a more inclusive and equitable South Africa? |
en |
dc.type |
Research report-other |
en |
dc.ProjectNumber |
N/A |
en |
dc.BudgetYear |
2019/20 |
en |
dc.ResearchGroup |
Research Use and Impact Assessment |
en |
dc.ArchiveNumber |
11333 |
en |
dc.URL |
http://ktree.hsrc.ac.za/doc_read_all.php?docid=22703 |
en |
dc.outputnumber |
10464 |
en |
dc.bibliographictitle |
Adams, R., Fourie, W., Marivate, V. & Plantinga, P. (2020) Introducing the series: can AI and data support a more inclusive and equitable South Africa?. (Report for the Policy Action Network (PAN) Topical Guides: AI & Data Series 1, March). http://hdl.handle.net/20.500.11910/15280 |
en |
dc.publicationyear |
2020 |
en |
dc.contributor.author1 |
Adams, R. |
en |
dc.contributor.author2 |
Fourie, W. |
en |
dc.contributor.author3 |
Marivate, V. |
en |
dc.contributor.author4 |
Plantinga, P. |
en |