How organizations can implement responsible data governance for AI and machine learning models.
Artificial Intelligence (AI) and Machine learning (ML) are reshaping business decision-making across industry domains. However, industry concerns around factors like accountability and transparency are top of mind.
Recent findings have revealed hidden biases and insufficient oversight in the development of AI models and ML architectures. A responsible data/model governance framework can provide sufficient oversight and promote accountability to shift the existing paradigm.
This eBook highlights the costs of biased AI models – and how organizations can design and implement a responsible data governance framework.
