The blog post from InterVision discusses the essential role of AI and data governance in helping organizations ensure data integrity and compliance while deploying ethical AI solutions. It highlights the challenges of AI’s rapid advancement and suggests that integrating blockchain technology can enhance data traceability and regulatory adherence.
AI has become mainstream with tools like ChatGPT, but most enterprises are still in the early stages of adoption. Avivah Litan from Gartner warns that the widespread use of AI agents introduces significant new risks, such as data compromise and erroneous outputs, amplifying the need for smarter governance.
Clinical investigators must implement a robust AI governance system to mitigate risks associated with the use of AI tools in clinical trials. This includes understanding the AI tool’s capabilities, developing specific policies, training staff, and ensuring ethical and transparent use to protect patient data and maintain trust.
Artificial intelligence (AI) is transforming industries worldwide, and Malaysia is positioning itself as a regional hub for AI development through initiatives like the National AI Office. However, to harness AI’s potential, organizations must prioritize data and AI governance to address challenges such as data privacy, reliability, and systemic biases.
In my journey into responsible AI agents, I explore the challenges of ensuring fairness, transparency, and trust in AI-powered systems. As we navigate the AI boom, it’s essential to design systems that respect user privacy and preferences while addressing potential biases and ethical concerns.
The article discusses the importance of board oversight in the adoption of AI and emerging technologies, highlighting the potential risks and benefits associated with these innovations. It emphasizes the need for comprehensive governance strategies, including the integration of AI into corporate strategy and the consideration of regulatory frameworks.
As the EU’s AI Act comes into full force in 2026, businesses globally will face challenges due to the lack of standardisation in AI regulation, creating compliance uncertainty. Implementing AI guardrails is essential for companies to navigate these risks while ensuring their AI applications are secure and aligned with ethical standards.
The House AI Task Force’s final report provides a clear and actionable blueprint for a unified U.S. vision on AI governance, addressing the need for targeted regulations, empowered sectoral regulators, and a consistent national framework. This approach aims to balance innovation with necessary safeguards, positioning the U.S. to lead confidently in AI governance.