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Setting AI Projects Up for Success

HBR IdeaCast

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Importance of Trust in AI Development

The key to successful AI development is to prioritize addressing the difficult aspects first, particularly the establishment of trust. Trust involves layers such as trust in the algorithm's fairness and transparency, but more crucially, trust in the developers who design the algorithm and their willingness to cater to the user's needs. It's essential to involve the intended users from the beginning and ensure their needs are a priority. Understanding the intended user's identity and bringing them into the development loop is critical. Additionally, AI projects can be categorized into external and internal facing, emphasizing the importance of considering the end user in the development process.

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