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Task 1. (individual) Creating a political AI Mirror

Build a “Digital Twin” with a custom chatGPT chatbot. A digital twin is a model of an entity in the real world that simulates the behaviour and properties of its physical counterpart. The idea has typically been used to model the behaviour of complex machines or systems, to predict problems or to perform experiments without risk of damage to the real-world counterpart.

This idea has recently gained attention in the area of human judgment: making algorithmic representations of subjective choices reduces noise in a decision-making process. Noise, in this regard, is simply a variation in results when the same decision is repeated. Numerous studies on criminal sentencing by judges show that factors like the time of day, whether a judge is hungry or even how their football team performed on the weekend have led to vastly different outcomes for the accused. An algorithmic representation of the same judge removes this noise; however, it does not necessarily change the biases influencing the outcome.

Your own Political Digital Twin might give a less noisy representation of your political and moral views and open new possibilities for civic engagement. It’s not practical to poll a population for every decision that is made in a democracy, but what if your digital twin could have a say in the most granular of choices independent of your mood and other random factors? On the other hand, this application brings in questions of free will and perhaps even the redundancy of the original human.

Steps:

  1. Download the example from GitHub

  2. Update the chatGPT key file (this will be provided by email).

  3. Modify the parameters to reflect your own views. Include views on topics you discussed in the first days of the course I.E. those relating to public space, technology and democracy.

  4. Start conversing with the twin and modify the parameters to improve the results.

  5. Test your twin with 3 difficult questions.

  6. Save/document your modifications to the example from Github, the questions and the chat that you developed on the server @ smb://fileredu.ad.zhdk.ch/DDE/BDE_VIAD/01_ABGABEN/24_FS/Sem4_Spatial_Interaction/Individual/YOUR_NAME/.