Learning Unit 1: Societal & Environmental-wellbeing
In this learning unit, we focus on critical-reflective data science practice with special attention to ethics and values. We explore how data science decisions impact society and the environment, and why these broader effects matter.
Together we dive into a real-world case study to highlight why data-driven technologies must account for the people and environments they affect and motivate human-centered principles in our data science practice.
Exercises
Task 1 - AI and Humans
In this task, different short articles, that shine light on danger surrounding misunderstood or badly implemented AI tools, are explored and supported by reflection questions. Examples range from Covid19 data disasters over AI and medicine to racist algorithms.
Task 2 - In Action Ethics
This reading and reflection task explores questions surrounding ethos and personal project work.
