Why were well-planned projects failing to meet their objectives? In the late 1990s, a group of software developers set out to address this challenge, creating what we now know as Agile methodology. They were looking for an approach that could adapt to rapidly changing user requirements whil delivering working software quickly and efficiently. Where it started In 2001, a group of software development leaders met at Snowbird, Utah, and formalised the Agile movement by publishing the Manifesto for Agile Software Development. At the time, traditional development models like Waterfall were failing to adapt to changing requirements, resulting in costly delays and dissatisfied customers. ...

AI alignment is the field of study focused on ensuring that artificial intelligence systems act in ways that are aligned with human values and intentions. Further reading AI Alignment - Wikipedia

Apple Intelligence ChatGPT by OpenAI Claude by Anthropic Microsoft Copilot NotebookLM by Google Perplexity AI by Perplexity AI, Inc. Example: AI Alongside Episode 6 - Prompting Perplexity Produces Polished Publications

Context For mid-career professionals in risk, audit, or management, the rapid adoption of Artificial Intelligence presents a specific challenge: how to apply established governance principles to a non-deterministic technology. This note outlines where AI sits within the standard Three Lines of Defence model, helping you position your skills and oversight responsibilities effectively. Defining AI Governance AI Governance is simply the framework of accountability, authority, and control that ensures automated systems are used responsibly. It is the mechanism by which an organisation retains meaningful control over its technology. ...

Context For the mid-career professional in audit, risk, or IT, the rise of artificial intelligence presents a distinct bifurcation in career trajectories. You do not need to become a data scientist to remain relevant, but you cannot afford to remain illiterate in the mechanics of automated decision-making. This article outlines how to pivot existing your ‘Lines of Defence’ experience into the emerging discipline of AI Governance. The Emergence of a Distinct Discipline AI Governance is rapidly decoupling from general IT governance and data protection. While it shares DNA with these fields, it addresses a specific convergence of risks that traditional frameworks struggle to contain: algorithmic bias, non-deterministic outputs, and the opacity of ‘black box’ decision-making. ...