I’m a multidisciplinary interface and software designer currently exploring interfaces that extend/augment human cognition on various tasks (from music-making to scientific discovery) by combining data visualization techniques, machine learning, and interface design. Additionally, I’m working on making black-box machine learning models more transparent (read more about it here). I believe that giving users the ability to better understand the underlying computational processes of AI systems to gain better control over their algorithms is one of the grand challenges of HCI research. A user-centered approach to AI design can help us understand AI/Interpretability problem spaces more intimately – opening up more imaginative zones for innovation, speculation, and design alternatives through which people and AI systems might become more closely aligned.

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