Cal Al-Dhubaib, Head of AI and Data Science at Further, champions responsible and trustworthy AI for global companies, emphasizing ethics, governance, and workforce development to address labor shortages in sectors like healthcare and manufacturing.
Singapore’s Infocomm Media Development Authority (IMDA) has released an updated Model AI Governance Framework for Agentic AI, focusing on practical controls to ensure responsible deployment while maintaining human accountability.
Paris Hilton joins the effort to combat sexually-explicit AI deepfakes, drawing from her personal experience and advocating for the DEFIANCE Act to provide legal recourse for victims of non-consensual digital forgeries.
Rachel Finn from Trilateral Research highlights the importance of ethical AI implementation in social housing, presenting a three-step framework focused on selecting appropriate use cases, building interdisciplinary teams, and fostering partnerships to ensure AI benefits and ethical standards.
Starting in 2026, California enforces new AI laws mandating transparency, user protection in serious situations, and restrictions on misleading medical representations during AI interactions.
Anthropic has updated the “Constitution” governing its Claude AI models to enhance safety, ethics, and transparency. This revised document outlines the principles Claude must follow, ensuring responsible AI development while adapting to evolving technological capabilities.
The European AI Regulation highlights the critical role of training and awareness for compliance. While the EU considers simplifications through the Digital Omnibus, companies must continue investing in tailored AI training to ensure staff competence and effective risk management.
The legal landscape for artificial intelligence is shifting as President Trump’s executive order establishes a national AI framework, moving away from conflicting state rules. This change emphasizes copyright law, particularly the legalities of AI training data and licensing.
Philadelphia is expanding its AI use in city services, but residents are concerned about transparency and public input. City officials are working on an AI governance framework emphasizing human oversight and accountability.
Identity security is crucial as AI systems become integral to enterprise operations, requiring robust governance to manage their actions and privileges. As autonomous agents increasingly interact with sensitive data, establishing clear accountability and oversight through identity controls is essential for safe AI adoption.
