This article discusses the importance of a robust governance framework for navigating the ethical dilemmas of artificial intelligence (AI) across Southeast Asia. It highlights the strengths and challenges of the ASEAN Guide on AI Governance and Ethics, emphasizing the need for collaboration and scalable solutions, especially for micro, small, and medium enterprises (MSMEs).
The article discusses the urgent need for governance frameworks to manage the interactions of multi-agent AI systems, highlighting the risks posed by their autonomous decision-making capabilities. It draws parallels with maritime governance, emphasizing the importance of transparency, accountability, and safety protocols to ensure responsible deployment of AI technologies.
The rapid growth of artificial intelligence (AI) is reshaping the digital landscape, amplifying existing online harms and introducing new safety risks, particularly through the use of deepfakes. A safety by design governance approach is necessary to address these AI-facilitated online harms by establishing interventions at various stages of the online harm lifecycle.
Workday has recently received dual third-party accreditations for its AI Governance Program, highlighting its commitment to responsible and transparent AI. Dr. Kelly Trindle, Chief Responsible AI Officer, emphasized that this recognition affirms Workday’s leadership in the critical area of AI governance.
As the US-China tech rivalry intensifies, a UN agency is advocating for global AI ethics standards, highlighted during UNESCO’s Global Forum on the Ethics of Artificial Intelligence in Bangkok. Despite the absence of major AI companies and delegations from the US and China, over 1,000 participants discussed the importance of collaborative frameworks to ensure AI serves the collective good.
Amazon Bedrock Guardrails now offers safeguard tiers, allowing organizations to implement customizable safety controls for their generative AI applications. This tiered approach enables companies to select appropriate safeguards based on specific needs, balancing safety and performance across various use cases.
The article discusses how lessons from the Agricultural Revolution can inform corporate governance as generative AI transforms knowledge work. It emphasizes the need for boards to adopt strategic, policy, and programmatic frameworks to effectively manage this technological shift.
In a thought-provoking discussion at the 20th Internet Governance Forum, Jovan Kurbalija suggested that understanding AI governance may require viewing it through the lens of magical realism, where the extraordinary intertwines with the mundane. He emphasized that just as magical realism comments on societal truths, AI presents new ethical dilemmas that challenge our perceptions of power, identity, and reality.
The rebranding of the US AI Safety Institute to the Center for AI Standards and Innovation signifies a shift in national priorities from safety and accountability to innovation and speed. This change raises important questions about who defines the standards and how they will impact safety protocols previously emphasized by the AISI.
NetApp is committed to responsible AI, integrating ethical principles and governance into its AI frameworks to build trust with customers. The company emphasizes innovation while ensuring that AI deployment is responsible, unbiased, and compliant.