SAP is transforming HR by embedding AI into their systems to create a skills-first workforce, enabling organizations to make faster, more strategic decisions. Customers report significant productivity gains, including reduced time to fill roles and improved HR operational efficiency.
Governance is foundational to AI as generative and predictive systems increasingly shape critical public sector decisions. Effective AI deployment requires a clear strategy, defined use cases, and ongoing measurement to balance innovation with compliance.
UW–Oshkosh’s AI Trailblazers initiative is gaining national recognition for its ethical and program-aligned approach to artificial intelligence. Presented at EDUCAUSE and AACN Transform conferences, this work highlights responsible AI adoption to enhance teaching, learning, and student success while maintaining trust and academic integrity.
The MindForge consortium has released the AI Risk Management: Executive Handbook, providing guidance on AI governance and risk management tailored for financial institutions at varying levels of AI maturity. This handbook supports responsible AI scaling while aligning with the MAS Guidelines on Artificial Intelligence Risk Management.
As AI adoption grows, SAP’s whitepaper ‘AI and Sustainability at SAP’ highlights the critical need for energy efficiency and ethical governance in digital infrastructure to reduce environmental impact and drive sustainable AI deployment.
California is preparing for a pivotal year in AI regulation, focusing on protecting children from AI chatbots, ensuring transparency in AI’s workforce impact, and advancing legislative efforts despite opposition from the Trump administration.
In his latest work, “The Banking Risk of AI Explanation,” JM García-Maceiras introduces the “Five Beacons” framework to enhance AI transparency and accountability in banking, addressing automated decision-making challenges and shared stakeholder responsibility.
The integration of Artificial Intelligence (AI) into legal practice necessitates ethical considerations to prevent malpractice. Private AI tools with enhanced security features are essential for maintaining confidentiality and ensuring the integrity of legal work.
Artificial intelligence is revolutionizing life sciences technology in 2026 with increased AI adoption, robotics integration, cross-platform AI solutions, and innovative software development through vibe coding, driving deep enterprise integration beyond compliance.
The AI child exploitation case in West Virginia highlights significant regulatory risks for U.S. platforms hosting user-generated content. Authorities investigate the use of hidden cameras and AI in producing abusive materials, accelerating tighter rules, higher compliance costs, and increased focus on child safety online.