Data protection and privacy are often mentioned in the same sentence, however, there is an important distinction between the two concepts: data protection refers to tools and policies restricting access to personal data – data protection protects against unauthorized access, whereas privacy defines who in the organizations or entities has authorized access to the personal data.
The importance of good quality and relevant data is of paramount importance to the performance of the AI systems. Your AI system is only as good as the data it is trained with – data may contain errors, mistakes, inaccuracies, as well as biases, therefore it is important to ensure that data that is used to train your AI systems is of good quality.
AI is only as trustworthy and transparent as the extent of its accountability measures. An accountable AI ensures that AI operates in accordance with its purpose and in compliance with relevant regulatory instruments. An accountable AI is an AI that inspires trust.