Guidelines: http://ocel.ai/ethics/
- Who will be impacted? Who were sampled? Who were over sampled or under sampled? Who were the data scientists (yourself and your collaborators)?
- What are the social and cultural impacts? What are the concerns about data privacy, security, and fairness?
- When will the social and cultural impacts take place? When should people be concerned about data privacy, security, and fairness?
- Where will the social and cultural impacts take place? Where will data privacy, security, and fairness issues, like data breach, and evaluative bias, likely to happen?
- Why are the social and cultural impacts important or consequential to the people and/or the community? Why should we be concerned about data privacy, security, and fairness issues?
- How can we address these societal issues in ML using a community-in-the-loop approach?
Reference: EduKC
