In this episode we delve into the role of AI in creative fields. The goal is to find an answer to the emerging question "Are AI models creative?"

The episode goes through the official definition of creativity and puts AI to the test going through how AI creates new things. We also tackle the biggest legal and ethical dilemma in AI generative content with ownership.

A lot of people have been wondering whether AI systems have gotten to the point where they have their own thoughts and feelings. In this episode, we explore how AI systems detect and respond to human emotions through data, patterns, and learned behavior. Then, we turn the lens around and look at when machines appear to show empathy, anger, or sadness, is anything really going on inside? We break down the difference between emotion recognition, expression, and true emotional experience, and discuss what researchers and philosophers say about whether machines could ever feel anything at all.

In this episode we tackle AI training data.

More specifically the thought that more data will always improve your models. From overfitting and noisy datasets to issues of scale, labeling, and ethics you'll understand that with AI models Quality is almost always better than quantity.We tackle problems where lack of good data leads to real issues and the ethicality of using widely available data on the internet without consent.