Risks of AI

AI systems, especially those using deep learning techniques, can act as "black boxes", making decisions without clear explanations. This lack of transparency can make it difficult to understand, trust, and challenge the decisions made by AI, leading to accountability issues.

Lack of Transparency and Accountability

AI systems can inherit biases present in the data they are trained on. If the training data is biased, the AI can make discriminatory decisions, perpetuating and even amplifying existing inequalities.

Bias and Discrimination

These systems require large amounts of data to function effectively, raising concerns about privacy and data security. The collection, storage, and analysis of personal data by AI systems can lead to unauthorised access, breaches, and misuse of sensitive information.

Privacy Concerns