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Behind the Craft
OpenAI and Ex-Shopify Product Lead Reveals How He Builds AI Products | Miqdad Jaffer
Jul 28, 2024
Miqdad Jaffer, former head of AI products at Shopify and now leading enterprise products at OpenAI, discusses the unique challenges of building AI products. He emphasizes that traditional product development methods often fall short for AI. The conversation reveals how Shopify's rapid iteration and user-driven design helped launch generative AI tools. Jaffer also dives into the importance of managing AI's edge cases and hallucinations, advocating for principles that prioritize user control and privacy in AI development.
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Quick takeaways
- Prioritizing user control in AI product development ensures transparency and empowerment, fostering a collaborative approach to technology interaction.
- Implementing rapid feature deployment based on specific use cases allows agile responses to user feedback, driving continuous improvement in AI offerings.
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Emphasizing User Control in AI Development
Ensuring user control over AI processes is crucial in AI product development. The approach begins by assuming that potential errors can and will occur, leading to a mindset that prioritizes user visibility and decision-making power. By designing systems that present options transparently to users, the technology serves as augmentation rather than replacement. This user-centric perspective ensures that merchants remain informed and involved in the AI's functionalities and implications.
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