AI Governance

AI Governance refers to the processes, policies, and frameworks that guide the ethical and responsible development, deployment, and management of artificial intelligence.

• Ethical Frameworks - Frameworks in AI Governance provide guiding principles and values to ensure the ethical use of AI technologies.

• Regulation and Compliance - Regulation and Compliance in AI Governance involve the development and enforcement of laws and regulations to oversee the use of AI. This includes creating legal frameworks that address issues such as bias, discrimination, and data protection.

• Stakeholder Involvement - Stakeholder Involvement in AI Governance emphasizes the importance of including diverse perspectives in decision-making processes related to AI. It involves engaging with various stakeholders, including the public, industry experts, and advocacy groups.

• Risk Management - Risk Management in AI Governance focuses on identifying and mitigating potential risks associated with AI technologies. This includes assessing the ethical, social, and legal implications of AI applications and implementing strategies to minimize negative impacts.

• International Collaboration - International Collaboration in AI Governance involves cooperation between countries and organizations to establish common standards and guidelines for the ethical development and use of AI. It promotes a global approach to addressing AI-related challenges and fostering responsible innovation.