The Bus Station That Didn't Exist, and Other Data Epiphanies
18 days ago
- #data-literacy
- #AI-bias
- #data-ethics
- Data literacy involves challenging assumptions about data appropriateness and ethics.
- A UK bus station was missing from official datasets due to unclear data definitions.
- Incomplete or missing data can be addressed by using proxies or assembling new datasets.
- Bias in datasets, like in dermatology images, can lead to unethical AI models.
- Official data isn't always authoritative or accurate, as seen with border disputes.
- Communicating data requires clarifying definitions and recognizing data isn't neutral.
- Data-driven services require multidisciplinary collaboration to remain effective.
- Model decay in live systems necessitates ongoing updates and user input.