Explores legal obligations and ethical considerations in data processing and AI, covering consumer credit, data protection, and automated decision-making.
Delves into the application of artificial intelligence in finance, exploring tools like neural networks and Bayesian techniques, successful use cases in fraud detection and robo-advisors, and the importance of interpretability in machine learning models.
