AI governance encompasses the policies, regulations, and ethical guidelines necessary to ensure that artificial intelligence technologies are developed and used responsibly. By addressing risks such as bias and privacy infringement, effective AI governance can promote accountability and transparency, ultimately benefiting society as a whole.
On September 19, 2024, California Governor Gavin Newsom signed the California AI Transparency Act, requiring generative AI system providers to implement measures for content disclosure. This law, effective January 1, 2026, mandates the use of AI detection tools and clear labeling of AI-generated content to enhance transparency.
This post summarizes a new report on the role of computing power in the governance of artificial intelligence. It discusses how governments can leverage compute to pursue AI policy goals while also highlighting the potential risks and challenges associated with compute governance.
AI transparency is crucial as it ensures that users understand the workings and impacts of AI systems, fostering trust and informed consent. This post examines the definition of AI transparency, its levels including explainability, governance, and impact, and emphasizes its importance in building confidence among stakeholders.
AI governance involves the policies and ethical considerations necessary for overseeing AI systems, ensuring they operate within legal boundaries and align with societal values. This governance framework addresses transparency, accountability, and fairness, helping organizations innovate responsibly while mitigating risks associated with AI technologies.
Transparency and explainability are crucial concepts in AI that help establish trust in systems and their outcomes. While transparency focuses on providing general information about the AI system, explainability seeks to clarify individual decisions or outcomes for users and stakeholders.
The document discusses the ethical implications of artificial intelligence (AI) and emphasizes the need for strong ethical guidelines to ensure that AI technologies benefit humanity while minimizing risks. It outlines key values and principles that should guide the development and deployment of AI systems to promote fairness, inclusiveness, and respect for human rights.
This conceptual paper explores transparency in artificial intelligence (AI) from both socio-legal and computer scientific perspectives. It emphasizes the need for a multidisciplinary understanding of AI transparency to effectively contribute to its governance in society.
The AI Governance Alliance is dedicated to fostering inclusive and ethical AI practices across industries, ensuring that AI adoption enhances human capabilities and promotes global prosperity. Their work focuses on responsible AI usage, developing regulatory frameworks, and advancing technical standards for safe AI systems.
Deloitte calls for transparency and responsibility in artificial intelligence (AI), emphasizing the need for explainability in AI-driven decisions that impact daily lives. The publication discusses the risks associated with AI, including bias and misuse, while advocating for ethical frameworks and governance to ensure AI benefits society.