Generative Artificial Intelligence, refers to a class of artificial intelligence systems and models that are designed to generate data that resembles or is similar to human-generated data. These systems are capable of creating new content, such as text, images, audio, or even video, by learning from large datasets of existing examples.

Generative AI models are often based on neural networks, and they use complex mathematical algorithms to understand and mimic patterns in the data they have been trained on. They can generate content by predicting what comes next in a sequence of data, such as generating text based on a given prompt, creating realistic images, or even composing music.

Over the course of this event, we will address the following key points:

1. Generative AI in Everyday Life: We'll discuss how Generative AI is becoming an integral part of our daily lives, from personal assistants that understand and generate human-like text to the art and media created by AI.

2. Ethical Considerations: With great power comes great responsibility. We will examine the ethical implications of Generative AI, including issues related to deepfakes, misinformation, and privacy concerns.

3. Applications across Industries: Generative AI is not limited to one field; it has wide-ranging applications. We'll explore how it's being used in healthcare, finance, marketing, and more.

4. Future Horizons: What does the future hold for Generative AI? We will look at emerging trends, innovations, and the potential for even more groundbreaking developments.