In the TPACK model, each of the three circles—Technological Knowledge (TK), Pedagogical Knowledge (PK), and Content Knowledge (CK)—represents a distinct area of expertise that teachers need to master. The “place to be” is right in the middle, where all three circles overlap. This overlapping region is sometimes called the “sweet spot” and is usually labelled “TPACK.”

Artificial Intelligence (AI) has become a cornerstone of modern technology, influencing various aspects of our daily lives. However, the significant energy transfers associated with AI raise concerns about its environmental impact. For instance, training a single AI model can emit over 283,000 kilograms of carbon dioxide, nearly five times the lifetime emissions of the average car.

Can AI Ever Be Ethical? The Problem of Uncredited Data, AI Training on AI, andthe Path ForwardAI is everywhere. From chatbots and content generators to recommendation algorithms andself-driving cars, artificial intelligence is shaping the way we work, learn, and interact. But beneaththe surface of these innovations lies a deep ethical question: Can AI ever truly be ethical when itrelies on data that has been scraped without credit? And what happens when AI starts training itself,using AI-generated content instead of human knowledge?The Data Dilemma: Uncredited Sources and AI EthicsMost modern AI systems, including large language models and image generators, are trained onvast amounts of data scraped from the internet. This includes books, articles, images, academicpapers, and creative works-often without explicit permission from their creators. This raises severalethical concerns:

This Is What Happens When We’re Trying to Make AI “Good” – Imagine What Misbehaving Could Look Like