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How UX Research for AI and machine learning (ML) is different from UX Research for design
Mar 18, 2024
Dawn Procopio, founder of AI-Ethicist.com, shares her expertise as a veteran UX researcher with a background at Siemens, Meta, and Amazon Web Services. She discusses the unique challenges of UX research in AI and machine learning, contrasting it with traditional design approaches. The conversation highlights the critical intersection of ethics and UX, particularly in healthcare. Dawn emphasizes the importance of understanding user perceptions and aligning AI outputs with human needs to create effective and ethical technology.
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Quick takeaways
- UX researchers are essential in ensuring AI and ML models are aligned with human-centered needs and ethical standards.
- Collaboration between UX researchers and machine learning experts is crucial for translating technical terms into user-centered concepts for effective model development.
Deep dives
The Role of UX Research in AI Development
UX researchers play a critical role in ensuring that AI and machine learning models are user-centered and ethically sound. Their insights are essential for aligning AI development with human needs and solving real-world problems. By understanding the nuances of user interaction, researchers can provide the human data necessary for training these models, making the development process more holistic. This involvement is especially vital in sensitive areas such as healthcare, where regulatory requirements mandate rigorous usability studies.
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Discover
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