<ul><li>The focus of the article is on emphasizing the importance of ethical design thinking in AI development and deployment.</li><li>The rush to innovate often results in the adoption of pre-trained models or third-party APIs without considering the ethical implications, which can lead to inequality and erode trust in real-world deployments.</li><li>Three key principles from the author's academic work are highlighted, emphasizing the ethical considerations in AI and machine learning research and product development.</li><li>The author suggests embedding ethical practices in AI product development to ensure transparency, evolution, and accountability for both value delivery and ethical impact.</li></ul>

A Researcher’s Perspective on AI Ethics and Deployment in Real-World Products

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