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03_exercise
🏠
10.05.22
In this exercise session, we will review and discuss the first assignment. After that, we will go through a case, where you have to deliberate your own values for your data science practice and think about the potential values of others.
- 10:15 - 10:20: Welcome and arrival
- 10:20 - 10:25: Peer-review introduction
- 10:25 - 10:45: Assignment 1 review
- 10:45 - 10:55: Assignment 1 discussion
- 10:55 - 11:40: In-exercise task: Values
- 11:40 - 11:45: Goodbye and outlook
Slides for the third exercise.
In the lecture, we discussed that in order to incorporate principles into your data science practice, you need to develop a shared ethos. A prerequisite for developing such a shared ethos is an understanding of your own values.
Let's imagine the following scenario:
You are working as an engineer in a medium-sized StartUp, offering AI services to business customers. During your weekly team meeting, your product managers explains the next product you will be working on. The CEO of your company is friends with the head of a local bank in your city. Together they decided that it would be great if your company would help the local bank out by using AI to speed up their credit approval process. This fast-track approval should simultaneously decrease errors which, according to the bank are caused by sub-optimal human judgment, while also improving the costs of the process. As a result, the friend's bank should have a competitive advantage over the other local banks in the area, who are still employing humans for every part of the process.
Your team gets tasked to look into an example dataset (similar to the German Credit data), which was provided by the bank for this cooperation. In the end, a report should be created that highlights all the different solutions your team could offer.
- Think about your team's personal values and how they relate to ...
- ... the potential values of your CEO, product manager, and your client.
- ... the values of your stakeholder, the people that are directly or indirectly affected by your data-driven system.
- [Optional] Establish a personal hierarchy of your values. The order will give you a clear understanding of how important each value is to your team. Think about the pairwise connection between the values. For each of these connections, deliberate which value is more important to you and mark it.)
- [Optional] Envision the product solutions you would propose adhering to your values, and what solutions are out of the question.
Here is a non-complete list of possible values which you can use as an inspiration to think about values:
acceptance, accountability, altruism, autonomy, balance, belonging, calmness, community, compassion, confidence, creativity, curiosity, democracy, determination, diligence, effectiveness, empathy, environmental sustainability, fairness, flexibility, forgiveness, freedom, generosity, gratitude, honesty, humor, human dignity, independence, innovation, integrity, intuition, inclusivity, informed consent, justice, kindness, modesty, objectivity, openness, patience, privacy, professionalism, reliability, reputation, respect, responsibility, security, self-efficacy, sincerity, tolerance, truthfulness and trust
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