cover of episode Lessons From Next-Gen Social: Strategies for User-Centric AI Deployment

Lessons From Next-Gen Social: Strategies for User-Centric AI Deployment

2024/5/30
logo of podcast Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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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](https://hackernoon.com/u/andreafrancesb)). Learn more about this writer by checking [@andreafrancesb's](https://hackernoon.com/about/andreafrancesb)) about page,
        and for more stories, please visit [hackernoon.com](https://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.