# Was KI über uns verrät | Simone Scholz | TEDxKollerschlag

Source: https://www.youtube.com/watch?v=QBHRIZ-cYyg
Recap page: https://rapidrecap.app/video/QBHRIZ-cYyg
Generated: 2025-11-24T16:41:32.691+00:00

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## Quick Overview

The speaker, Simone Scholz, argues that Artificial Intelligence (AI) systems currently reflect and amplify existing human biases and societal flaws present in their training data, emphasizing that "Superman is not coming" to fix these issues, and the responsibility lies with humans to train AI ethically to avoid perpetuating discrimination, racism, and sexism.

**Key Points:**
- Simone Scholz, originally from Carinthia, moved to Vienna at age 10, where she pursued ballet, an activity she loved, despite initially being labeled a 'worker's child' (Arbeiterkind).
- The speaker highlights that AI systems, like the famous chatbot that emerged in 2016, are trained on massive datasets, including 550 billion social media entries, which contain inherent human biases.
- AI systems, such as the Microsoft chatbot, learn to imitate human behavior, including discriminatory, sexist, and violent patterns found in the data, rather than being inherently malicious.
- The speaker points out that the responsibility for fair AI lies with humans who curate the data, contrasting the massive data fed to AI with the small amount of data children learn from.
- The quote, 'Superman is not coming' (attributed to Eric Brechner), underscores that no external savior will fix biased AI; humans must actively work to create ethical models.
- Scholz concludes that we must proactively reflect on and question our own behaviors and biases when training AI, rather than expecting the AI itself to resolve inherent societal unfairness.

![Screenshot at 00:20: The speaker stands on stage during her TEDx talk at Loxone Campus, with the slide behind her displaying the German text 'Arbeiterkind' \(Worker's Child\), setting the context for her personal narrative about social background influencing opportunities.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-00-20.png)

**Context:** This TEDx talk, titled 'Was KI über uns verrät' (What AI reveals about us), features speaker Simone Scholz discussing the impact of training data on Artificial Intelligence (AI) behavior. Scholz draws from her personal background, mentioning her childhood as a 'worker's child' and her passion for ballet, to frame the discussion around how societal biases are encoded and reflected in the increasingly powerful AI systems being developed today.

## Detailed Analysis

Simone Scholz delivers a presentation arguing that Artificial Intelligence (AI) is inherently a mirror of humanity, reflecting the data it is fed. She shares a personal anecdote about growing up as an 'Arbeiterkind' (worker's child) and how her passion for ballet was often at odds with societal expectations, illustrating the concept of ingrained bias. She states that AI training relies heavily on massive datasets, such as 550 billion social media entries, which contain discriminatory, sexist, and violent language and behavior. Consequently, when trained on this data, AI models—like the early Microsoft chatbot—mimic these negative patterns, producing biased or harmful outputs. Scholz stresses that the solution is not external intervention, quoting Eric Brechner: 'Superman is not coming.' The onus is on humans, especially data scientists and AI trainers, to consciously interrogate and filter the training data to ensure fairness and avoid automating existing societal prejudices. She concludes by asserting that we must actively teach AI positive role models and ethical behavior, rather than expecting the technology to solve human failings on its own.

### Personal Background and Bias

- Speaker Simone Scholz
- Originating from Carinthia, moved to Vienna at age 10
- Was labeled 'worker's child' (Arbeiterkind)
- Loved ballet, felt immense pressure (innerer Drang) to succeed in a field requiring discipline.

### AI Training and Data Reflection

- AI systems learn from massive datasets like 550 billion daily social media entries
- AI imitates human behavior, including discriminatory, sexist, and violent patterns
- Early chatbots (like one from Microsoft in 2016) exhibited these learned biases.

### The Responsibility for Fairness

- The quote 'Superman is not coming' highlights that humans must address bias
- The issue isn't the AI itself, but the data we provide and the patterns we teach it
- We must actively filter data to prevent discrimination (racial, sexist, violent) from being automated.

### Conclusion and Call to Action

- We must consciously teach AI positive behavior and ethical role models
- We need to examine our own behaviors and biases (e.g., gender pay gap) that we are coding into AI systems.

![Screenshot at 00:04: Title slide for the TEDx event: TEDx Kollerschlag, shared with Loxone Campus.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-00-04.png)
![Screenshot at 00:21: The projection screen displays the word 'Arbeiterkind' \(Worker's Child\) in yellow text on a bright yellow background, connecting to the speaker's personal story about social background.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-00-21.png)
![Screenshot at 01:02: Wide shot showing the speaker on the large stage in front of a dark audience, with a slide displaying a yellow background and a photo of a young group, presumably her ballet class.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-01-02.png)
![Screenshot at 02:00: The slide changes to display 'Leidenschaft' \(Passion\), highlighting one of the core themes of her talk.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-02-00.png)
![Screenshot at 10:25: The slide changes again to display 'Fairness' next to an image of a product \(likely related to fair trade or ethical consumption\), illustrating the concept of fairness in data.](https://ss.rapidrecap.app/screens/QBHRIZ-cYyg/00-10-25.png)