Explore how the intersection of AI, personal data, and blockchain is shaping the future of data ownership and consent management in this insightful blog. Discover the rising value of personal data, the risks of unrestricted AI use, and the potential of blockchain to empower individuals to control and monetise their data. Learn about the urgent need for legislative frameworks to protect data rights, and how AI-generated content, like deep fakes, underscores the importance of transparency, consent, and ethical use. Dive into the steps necessary to build a fair and secure data economy that benefits individuals and respects privacy.

Explore how MLOps can ensure AI ethics and transparency in your organisation in "AI Ethics & MLOps - Go Fast, Without Breaking Transparency." This blog by Ben Saunders delves into the importance of integrating ethical considerations and governance into the machine learning lifecycle. Learn how MLOps frameworks can help build, deploy, and manage AI models that are reliable, transparent, and compliant with legal standards, fostering trust among customers and regulators while accelerating AI adoption.

Navigating the Risk Landscape of AI Systems: A Short Guide provides crucial insights into the complexities of managing AI-related risks. As AI technologies become increasingly integrated into various sectors, understanding potential threats such as data privacy concerns, algorithmic biases, and security vulnerabilities is essential. This guide offers practical strategies for identifying, assessing, and mitigating these risks to ensure safe and ethical AI implementation. Whether you're a business leader, IT professional, or AI enthusiast, this short guide equips you with the knowledge to navigate the evolving AI risk landscape effectively.