AI governance refers to the process of governing AI systems in organisations. Read our insights, regulatory updates, judgment summaries, enforcement action (including fines and notes) summaries, AI case studies or authority guidance.
Different types of AI systems exist within the narrow AI category. This post provides a high level overview of the different types of AI systems and what they do. Different types of AI The EU AI Act proposes to regulate [...]
Meet Thulie. She’s an adept technology officer at a listed company that operates across several continents. Over the past few months, she’s noticed a rapid increase in online conversations and the news about generative AI like OpenAI’s ChatGPT and Google’s [...]
The increasing complexity of data protection and privacy regulations has created a demand for innovative solutions. One such innovation, generative artificial intelligence (AI), promises to enhance efficiency, accuracy, and compliance with various data protection laws. This article will explore the [...]
Artificial Intelligence (AI) is a fast-growing field transforming how we interact with and use technology. From voice assistants and chatbots to self-driving cars and medical diagnosis tools, it is already a part of our everyday lives, with its impact only [...]
AI has rapidly emerged as a key technology in the modern era. With its ability to automate processes and analyse data, AI has proven to be a game-changer for businesses across various industries. Specifically, AI as a service (AIaaS) is [...]
ISO's guidance on AI risk management introduces a common framework relating to the implementation and use of AI systems. Risk management allows organisations to identify and evaluate risks using resources. The guidance applies to organisations that produce, develop, use, or [...]
AI has the potential to transform industries, drive innovation, and improve decision-making. However, the increasing use of AI has raised concerns about its sustainability. In essence, sustainability means that organisations engage in business that meets the needs of the present [...]
In today’s digital age, organisations increasingly use AI systems to process large amounts of personal data. These systems can potentially transform businesses and society in profound ways. But they also pose significant risks to the rights and freedoms of data [...]
Model risk management is crucial to effectively using AI in various domains. As you know, AI has advanced rapidly and integrated into different areas of our lives, including healthcare, finance, and transportation. Even so, AI systems’ reliance on complex models [...]
Let’s explore a new AI security risk: membership inference attacks. What is it? It’s an AI attack during which an attacker tries to determine if you have used a particular person’s personal information to train a machine learning model. The [...]
Let’s explore a new AI security risk: model inversion attacks. What is it? It’s a type of AI attack during which an attacker tries to infer personal information about a data subject by exploiting the outputs of a machine learning [...]
Today, Google unveiled its rival to ChatGPT: “Bard”. The news follows the public’s rapid embrace of ChatGPT, a competing chatbot from OpenAI. Introducing Bard In a blog post, Alphabet CEO Sundar Pichai said his company is opening a conversational AI service [...]
