Shaping the human-AI partnership requires trust and active user cooperation

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By Janna Lipenkova | Aug 09, 2024

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The best way to shape the relationship between humans and AI is to help AI users become more AI literate, interact with AI systems more effectively, and give them a greater say in the design and implementation of these systems, argues computational linguist Janna Lipenkova.

BERLIN -

This is a slightly modified version of the original article, which can be found here.

Explaining AI, building trust, and augmenting the human user

On May 14th, I had the pleasure of presenting at ProductTank in Paris. I talked about the ways in which artificial intelligence (AI) is shaking up how people work with software, and I also had a lively discussion with the audience that crystallized a key theme: When implementing AI initiatives, one must support AI users to become more proactive and knowledgeable in their interaction with AI systems, ultimately contributing to their designs.

This article will focus on some of the key elements on this path, covering the explanation of AI systems, calibrated trust, and the joint creation of AI-driven workflows with users. This will be particularly useful for practitioners who are:

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