Digital platforms' opaque AI-driven content moderation perpetuates information asymmetry, underscoring need for transparency and accountability
Original framing: “AI decides what we see online. It's time digital platforms tell us exactly how they do it” — Phys.org
The history of content moderation is deeply tied to the colonial and imperialist projects of the past, which sought to impose Western notions of information and knowledge on colonized peoples. This legacy continues to shape the digital economy and the ways in which information is controlled and disseminated. To address the issue of information asymmetry, it is essential to acknowledge and learn from this history.
The use of AI-driven content moderation raises significant concerns about the nature of information and knowledge in the digital age.
To address this issue, digital platforms must adopt more transparent and accountable approaches to content moderation, including the use of explainable AI algorithms and regular audits of AI-driven decision-making processes. This requires a deep understanding of the historical and cultural contexts in which digital media operates, as well as a commitment to prioritizing the voices and perspectives of marginalized communities. By prioritizing transparency, cultural sensitivity, and community-led approaches to content moderation, digital platforms can help to address the issue of information asymmetry and promote a more nuanced and culturally sensitive understanding of digital media.