The article discusses how artificial intelligence (AI) systems are being trained on data from online platforms like Reddit, Stack Overflow, and Facebook. This practice raises concerns about the potential for AI to learn and amplify biases, misinformation, and toxic content present on these sites. The article highlights that while these platforms offer vast amounts of data for training AI models, the data is often unfiltered and can contain harmful or inaccurate information. Experts warn that AI systems trained on such data may perpetuate societal biases, spread misinformation, or generate offensive content. The article emphasizes the need for careful curation and filtering of training data to mitigate these risks. It also underscores the importance of transparency from tech companies about the data sources used to train their AI models. Overall, the article sheds light on the ethical considerations surrounding the use of online data for AI training and the potential consequences of AI systems learning from unvetted sources.
Source: https://abcnews.go.com/Technology/wireStory/ai-learning-reddit-stack-overflow-facebook-111612770