Philo-Workshop: Algorithmic Discrimination: Reasons & Consequences

Philo-Workshop with Yasaman Yousefi & Nora Schleich

Algorithms influence what we see online, how we interact socially, and how we perceive activities or political phenomena.

Artificial Intelligence (AI) relies on algorithms, but not all algorithms are the same. Essentially, an algorithm is a set of instructions guiding a computer to solve problems. In AI, some algorithms enable systems to “learn” and evolve new behaviors.

Algorithms are designed to achieve specific goals, complete tasks, or follow methods. For example, social media platforms use algorithms to predict your interests and determine what content you see most often.

Two key factors shape their impact:

1. Human intention defines how an algorithm operates.
2. The data used to train algorithms heavily influences their outcomes.

This raises ethical concerns:

Algorithms can manipulate users by repeatedly promoting certain information, a tactic often seen on social media, in online shopping, or political campaigns. Worse, biases in the data can lead to discriminatory outcomes—amplifying societal inequalities in areas like hiring, loans, or law enforcement.

Many users are unaware of how these systems work or that their design often serves economic or political interests rather than individual well-being.

Addressing the ethics of algorithmic manipulation and discrimination is essential to ensure transparency and fairness in their use. We’d be happy to welcome you to the discussion!

For more information and registration: Algorithmic Discrimination: Reasons & Consequences