I completely agree—it’s one thing to use AI for convenience, but when it comes to high-stakes decisions like employment or criminal justice, the ethical implications are massive. I’ve seen cases where the training data itself already contains hidden biases, and the model just replicates or even amplifies them. What’s worse, many organizations treat these algorithms as black boxes, meaning there’s no transparency about how they reach conclusions.

I recently read through the Artificial Intelligence Foundation course over at Advised Skills, and they touch on this pretty well. They emphasize the importance of ethical frameworks and explain why understanding the data pipeline and validation process is just as vital as the algorithm itself. If you're interested in ethical AI development https://www.advisedskills.com/artificial-intelligence/artificial-intelligence-foundation and how to implement accountability into the design process, that might be a great place to start. It made me realize how many AI systems lack proper oversight simply because the teams behind them aren't trained to prioritize it.