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Datasets are active participants in defining the function of machine learning models. Data is primarily human. So,
How might we ethically collect data to programme equitable AI models and systems?
Extractivist Data Methodologies
Ethical + Feminist Data Methodologies
Dubious or Hidden or False Consent and Permission
Informed Consent
Hidden use of Data -
The Function of Data Sharing is not Defined or Shared
The Function of Data Sharing is not Defined or Shared
Transparency about Outcomes Generated
from Use of Shared Data
from Use of Shared Data
Reproduction of Biases
through Inappropriate or Biased Labelling
through Inappropriate or Biased Labelling
Diverse and Communal Collection
Allows for Dilution of Biases
Allows for Dilution of Biases
Adopting, learning and practicing with human first data methods, I designed a 3 part workshop focusing on
co-creating narratives, sharing, and collecting.
Below is a fundamental flow for each part, and you can access the blueprint for each workshop here.
co-creating narratives, sharing, and collecting.
Below is a fundamental flow for each part, and you can access the blueprint for each workshop here.