Steering Responsible AI: A Case for Algorithmic Pluralism
This is an incremental theoretical proposal for AI ethics and governance, addressing societal concerns about AI mediation.
The paper tackles the problem of AI neutrality by proposing algorithmic pluralism as an alternative to algorithmic transparency, arguing it can sustain diversity and inclusiveness vital to democracy.
In this paper, I examine questions surrounding AI neutrality through the prism of existing literature and scholarship about mediation and media pluralism. Such traditions, I argue, provide a valuable theoretical framework for how we should approach the (likely) impending era of AI mediation. In particular, I suggest examining further the notion of algorithmic pluralism. Contrasting this notion to the dominant idea of algorithmic transparency, I seek to describe what algorithmic pluralism may be, and present both its opportunities and challenges. Implemented thoughtfully and responsibly, I argue, Algorithmic or AI pluralism has the potential to sustain the diversity, multiplicity, and inclusiveness that are so vital to democracy.