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.
As a social media founder who scaled my platform, Lips, to 50,000 users, early on, I knew I would need to utilize AI to automate moderation and recommendation, however, the decision to do so came with some daunting challenges related to data privacy, bias, and implementation. Additionally, as regulations around ethical AI evolved, platforms like mine were left without practical solutions for how to comply.
As a social media founder who scaled my platform, Lips, to 50,000 users, early on, I knew I would need to utilize AI to automate moderation and recommendation, however, the decision to do so came with some daunting challenges related to data privacy, bias, and implementation. Additionally, as regulations around ethical AI evolved, platforms like mine were left without practical solutions for how to comply.
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