AI Design Sprint
Inspiration Sessions
To ensure that you get the most out of the Design Sprint, we
invite you to watch these six virtual masterclasses ahead
of the workshop to deepen your knowledge of AI.
AI Governance
In this session we highlight the responsibilities associated with AI, focusing on ethical exploration and risk management. The discussion delves into the FT's guiding principles which underscore innovation without compromising journalistic integrity or data privacy, alongside established AI governance frameworks that include usage policies and approval processes.
Machine Learning
Google's Martin Schierle explores the history of AI and machine learning, extending beyond recent years, to gain a comprehensive understanding of its development. We guide you through the process of constructing a machine learning model, and discuss tooling and prototyping, which are subject to rapid changes. We also recommend some of the most effective tools currently available.
AI Strategy
Explore the critical importance of an AI strategy. This video details practical applications across content creation, audience engagement, monetisation, and internal operations. It guides you through setting AI goals, aligning broader strategies, and prioritising initiatives based on current capabilities, emphasising the strategic thinking required to effectively integrate AI into your operations.
Scaling AI
The Scaling AI session outlines a structured approach to integrating AI within business operations, emphasising the importance of a user-centric strategy to enhance the reader experience. It discusses the steps of identifying the right problems to solve with AI, experimenting responsibly while managing risks, and scaling up successful initiatives to leverage AI's full potential.
AI User Experience
This video delves into the transformative impact of generative AI on the publishing industry, highlighting the rapid advancement of AI capabilities and the evolving expectations of audiences. It discusses the potential for AI to revolutionise content production and user experiences through large language models and multimodal AI, which seamlessly integrate text, images, videos, and audio.
Responsible AI for Publishers
New opportunities within AI are emerging across all industries. However, the challenge is addressing these opportunities ethically and securely to avoid creating harm. Google's Gaëlle El Feghali explores the importance of this for publishers, focusing on specific use cases to ethically and responsibly use AI to create and distribute content, as well as to enhance other business operations.