AI Governance
AI Governance refers to the frameworks, policies, and practices designed to ensure the ethical, transparent, and accountable development, deployment, and use of artificial intelligence systems. It encompasses regulatory compliance, risk management, and oversight mechanisms to address issues like bias, privacy, and safety in AI applications. This concept is critical for aligning AI technologies with societal values and legal standards.
Developers should learn AI Governance to build responsible AI systems that mitigate risks such as algorithmic bias, data privacy violations, and unintended consequences, especially in high-stakes domains like healthcare, finance, and autonomous vehicles. It is essential for compliance with regulations like the EU AI Act and for fostering trust with users and stakeholders. Understanding governance helps in designing auditable, fair, and transparent AI models that align with ethical guidelines.