Learning Snapshot: Play
Learning about algorithms, inequalities, fairness and ethics through play
Learning Snapshot Series #1
Building a shared toolkit for technical democracy
The aims of emergent, serious games are to invite a broad range of public stakeholders to:
Learn about algorithms and automation
Play with thresholds, data, scenarios
Reflect upon human and non-human decision-making processes
Consider issues associated with fairness, inequality, and morals
Re-appropriate data for collective learning and experimentation
The following outlines the UK exam algorithm game, and provides are other examples of play.
Can an Automated Algorithm Make Human Grading Fairer?
Other Examples of Play (Emergent Serious Games)
Example 1: Can You Make AI Fairer than a Judge (Technology Review)
Example 2: The Moral Machine (MIT Media Lab)
And read more about it here.
Example 3. Automating NYC and (En)Coding Inequality (Automating NYC)
Example 4: Games for Fairness and Interpretability
