This podcast series explores the intersection of AI and compliance, addressing critical questions about the implications of AI technologies in the workplace. Hosted by compliance expert Thomas Fox, it focuses on effective AI governance to ensure ethical usage in cloud investments.
The Global Enterprise AI Governance and Compliance Market is expected to grow from USD 3.4 billion in 2026 to nearly USD 68.2 billion by 2035, with a CAGR of 39.40%. This market addresses organizations’ needs to manage and monitor AI systems, ensuring transparency and regulatory compliance amidst rising pressures.
The UK and EU are investigating Elon Musk’s Grok AI for enabling non-consensual deepfakes, prompting potential bans and fines. As regulators increase oversight, platforms like AI.cc (AICC) emerge as ethical AI compliance models amid growing generative AI concerns.
Eric Clarke, former CEO of Orion Advisor Solutions, now co-founder of Hamachi.ai, is driving innovation in wealth management compliance through AI platforms that integrate human oversight to enhance advisor workflows and build client trust.
London Mayor Sir Sadiq Khan has unveiled plans for free AI skills training and a new taskforce to protect jobs, warning that unregulated AI could lead to mass unemployment. He calls for strong regulation and large-scale skills reform to ensure workers are prepared for the changes in the labour market.
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.