As AI and data science continue to shape the digital landscape, designers play a critical role in ensuring these technologies are intuitive, trustworthy, and human-centred. Working on a complex simulation platform has given me firsthand insight into the challenges of bridging data-driven systems with user needs. While data scientists extract patterns and make predictions, designers must translate these insights into actionable, user-friendly experiences. This talk will explore what designers need to know to better understand AI systems, build trust in them, and design interfaces that balance power and usability.
Key Points:
• Essential AI and data science concepts for designers
• The role of trust in AI-driven experiences
• Understanding agentic AI and why it matters for design
• A strategy for designing AI interfaces with trust, explainability, and usability in mind
This talk will inspire designers to embrace AI-driven thinking, turning complex data challenges into opportunities for collaboration with data scientists and engineers, ultimately shaping smarter, more user-centric solutions.
