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.
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.
The Artificial Intelligence Governance Professional (AIGP) credential is essential for professionals to ensure ethical governance in AI systems across various industries. It signifies an individual’s ability to manage AI risks while adhering to responsible AI principles and current laws.
As Artificial Intelligence becomes increasingly integrated into our daily lives and business operations, the question of accountability for AI-driven decisions and actions gains prominence. Understanding who is responsible when AI goes wrong—be it users, managers, developers, or regulatory bodies—is essential for fostering trust and ensuring ethical practices in AI utilization.
The AI Accountability Policy Report emphasizes the importance of establishing a framework for assessing the trustworthiness of AI systems and ensuring transparency in their operations. It highlights the collaborative efforts of the Biden-Harris Administration and various stakeholders to promote responsible AI development and address potential risks associated with AI technologies.
Accountability is a crucial aspect of governing artificial intelligence (AI), as it ensures that AI systems are fair and aligned with societal values. This article analyzes the multifaceted nature of accountability in AI, defining its features, goals, and the sociotechnical approach necessary for effective governance.
This workshop-based exploratory study investigates accountability in Artificial Intelligence (AI) through risk governance. It identifies key challenges and characteristics necessary for effective AI risk management methodologies, aiming to bridge the gap between conceptual understanding and practical application in the industry.
Texas’s proposed AI law, the Texas Responsible AI Governance Act, introduces strict regulations that could hinder innovation in the state. While aiming to address risks associated with artificial intelligence, the legislation may impose heavy burdens on companies, potentially jeopardizing significant projects like the $500 billion Stargate Project.
U.S. President Donald Trump revoked a 2023 executive order by Joe Biden aimed at mitigating the risks of artificial intelligence to national security and public safety. The order required AI developers to share safety test results with the government before public release, a measure that the Republican Party criticized as hindering innovation.
The “Basic Act on Artificial Intelligence (AI) Development and Trust Building” recently passed in South Korea aims to balance regulation and promotion of AI technologies, positioning the country as a leader in AI legislation. It establishes a framework for responsible AI advancement while prioritizing job creation and transparency in high-impact AI applications.