Abstract
The article "Decolonizing Data: Making AI Work for All" discusses the importance of addressing biases, promoting data sovereignty, and fostering inclusive, ethical practices in artificial intelligence (AI) to ensure equitable outcomes for all communities. It highlights how AI reflects existing biases and inequities, perpetuating inequalities rather than dismantling them. The text emphasizes the need for diverse representation in data sets and ethical governance frameworks to create a more inclusive and just future in AI development. Efforts to decolonize data are underway, with initiatives like SAMINOR in Norway and movements in Australia and New Zealand championing Indigenous data sovereignty.
| Original language | English |
|---|---|
| Journal | International Policy Digest |
| Publication status | Published - 7 Dec 2024 |
| MoE publication type | E1 Popularised article, newspaper article |
Keywords
- Algorithmic Bias
- Artificial Intelligence
- High Technology Industries
- Dignity
- Data Sovereignty
