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The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UXdesigners, data scientists, engineers, and other team members.
In the development phase, domain experts are the closest peers to your real users, and picking their brains is one of the fastest ways to bridge the gap between AI capabilities and real-world usability. Ensuring transparency and trust in AI decisions AI thinks differently from humans, which makes us humans skeptical.
Posted by Bhaktipriya Radharapu, Software Engineer, Google Research One of the key goals of Responsible AI is to develop software ethically and in a way that is responsive to the needs of society and takes into account the diverse viewpoints of users.
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