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Human Factors in AI

DroneX is a project that followed Duke University Pratt School of Engineering's framework to consider human factors in AI. This approach was used to illustrate the design of a user experience that incorporates AI.

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Task Analysis

Problem description: persona & POV
Task analysis: user journey
Reflections & insights: easing task flow and improving UX (AI applications considering Nadia Piet's concepts created in partnership with MOBGEN, Fjord, and Accenture Interactive Amsterdam)

User Experience design

Defining the user interaction with the proposed solution: user flow diagram
Addressing key elements of AI product user experience design:

Privacy & Ethical considerations

Analysis of privacy concerns from data collected and its use in the AI system
Identifying applicable privacy laws and obligations in product design
Anticipating main potential sources of bias
Defining product compliance with the three goals of ethical AI: fairness, accountability and transparency

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This HD video master class shows you how to integrate human factors when designing for AI. You will be guided through a case study of an e-commerce hub that uses drones for home delivery and that integrates AI features in the user interface. Learn More

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