Activity: Unmasking Bias in AI Datasets
In the world of artificial intelligence (AI), the quality and fairness of a system's output are heavily influenced by the data it's trained on. Biased datasets can lead to discriminatory or inaccurate results, undermining the trust and effectiveness of AI applications. In this activity, you'll investigate the concept of dataset bias, its potential consequences, and mitigation methods, using the RAKT chatbot case...