Source: Dataversity

This article explores the intersection of artificial intelligence and data governance, emphasizing the critical role of robust frameworks in managing the legal implications of AI technologies. Data governance serves as the backbone of ethical AI, ensuring that data is collected, processed, and stored in compliance with legal and regulatory standards.

Key concerns include data privacy, security, and the prevention of bias in AI algorithms. The piece highlights the importance of establishing clear policies for data handling, including obtaining user consent, ensuring data quality, and implementing mechanisms for accountability.

It also addresses the challenges organizations face in aligning AI systems with global data protection laws such as GDPR and CCPA. The need for transparency in algorithmic decision-making and regular audits to monitor compliance is stressed.

The discussion concludes by advocating for a proactive approach to data governance, which not only mitigates legal risks but also fosters public trust and supports the development of fair and reliable AI systems.