AI Governance

AI Governance refers to the framework of policies, regulations, and ethical guidelines that oversee the development, deployment, and use of artificial intelligence technologies. It encompasses various principles and practices aimed at ensuring that AI systems are designed and operated in a manner that is transparent, accountable, fair, and aligned with societal values.

The goal of AI Governance is to manage the potential risks and benefits associated with AI, including issues related to bias, privacy, security, and the impact of automation on jobs and society. It involves stakeholders from different sectors, including government, academia, industry, and civil society, to create a collaborative approach towards responsible AI usage.

AI Governance addresses questions such as how to regulate AI technologies, establish ethical standards for their use, and ensure compliance with legal frameworks. It also focuses on fostering innovation while safeguarding public interest, advocating for inclusivity, and enhancing public trust in AI systems. Through effective governance, the aim is to harness AI’s potential for positive societal impact while mitigating its risks.