#83 Live from Hatch Conference Berlin: Designing for AI with Emily Campbell

Join us for a special live episode of The Future of UX podcast from the Hatch Conference in Berlin, featuring the insightful Emily Campbell, VP at HackerRank and founder of Shapes of AI. Back by popular demand, Emily dives deep into the evolving landscape of UX design in the age of artificial intelligence.
In this episode, Emily shares key insights from her recent keynote, exploring the history and rapid evolution of AI from its early roots in cybernetics to today's machine learning models. We discuss the role of algorithms in shaping digital experiences, the ethical considerations designers must navigate, and how to balance user intent with AI-driven personalization.
Key Learnings:

The Evolution of AI in Design: Understanding AI's journey from the 1940s concept of cybernetics to the present and its implications for modern UX design.
Designing with and for AI: Practical strategies for UX designers to harness AI tools to create more personalized, intuitive experiences while avoiding common pitfalls.
Ethical AI and UX: Navigating the ethical challenges AI presents, from biases in algorithms to privacy concerns, and the importance of intentional design choices.
Future of UX Roles: How the role of UX designers is evolving to include a more strategic, consultative approach, emphasizing deep user understanding and ethical considerations.
Practical Applications: How designers can start experimenting with different AI tools, understand their strengths and weaknesses, and apply them to real-world design challenges.

Emily provides actionable advice on leveraging AI in design while remaining user-focused and ethically grounded. Whether you're a seasoned designer or just beginning to explore the intersection of AI and UX, this episode is packed with valuable insights to help you stay ahead in the ever-changing landscape of digital design.

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Resources mentioned:
〰️ Find Emily Camphell: LinkedIn
〰️ Books: How to speak machine form John Meada
〰️ UX Pattern library: Shapes of AI

other resources

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