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)?
- Anyone who care about COVID-19 will impacted with our application.
- What are the social and cultural impacts? What are the concerns about data privacy, security, and fairness?
- In this application we are only tracking the number of cases, recovered, critical, active of COVID-19 that happened around this year. We also include how many cases of deaths for COVID-19 in the day.
- With this application, we will make sure our user information not share with other.
- When will the social and cultural impacts take place? When should people be concerned about data privacy, security, and fairness?
- The social and cultural should impacts everywhere and everyone who care about the COVID-19, once people aware how many cases they will start to wear mask to make them safe and their family member safe.
- 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?
- The social and cultural should impacts everywhere and everyone who care about the COVID-19, once people aware how many cases they will start to wear mask to make them safe and their family member safe.
- 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?
- The social and cultural impacts to the community since they will start to wear mask and other protection while they’re outside to protect other’s and themselves.
- How can we address these societal issues in ML using a community-in-the-loop approach?
Reference: EduKC
