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Lessons From Next-Gen Social: Strategies for User-Centric AI Deployment
Manage episode 421171392 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-lessons-from-next-gen-social-enterprise-strategies-for-user-centric-ai-deployment.
Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-ethics, #social-media, #ai-trends, #responsible-ai, #tech-diversity, #llms, #user-centric-ai-deployment, #user-centric-machine-learning, and more.
This story was written by: @andreafrancesb. Learn more about this writer by checking @andreafrancesb's about page, and for more stories, please visit hackernoon.com.
Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI practices. Engaging users in moderation and recommendation processes improves transparency and inclusivity. Innovative strategies like federated learning and differential privacy help maintain user trust and privacy. These approaches set new standards for responsible AI deployment in social media.
316 قسمت
Manage episode 421171392 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-lessons-from-next-gen-social-enterprise-strategies-for-user-centric-ai-deployment.
Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-ethics, #social-media, #ai-trends, #responsible-ai, #tech-diversity, #llms, #user-centric-ai-deployment, #user-centric-machine-learning, and more.
This story was written by: @andreafrancesb. Learn more about this writer by checking @andreafrancesb's about page, and for more stories, please visit hackernoon.com.
Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI practices. Engaging users in moderation and recommendation processes improves transparency and inclusivity. Innovative strategies like federated learning and differential privacy help maintain user trust and privacy. These approaches set new standards for responsible AI deployment in social media.
316 قسمت
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