Algorithmic Transparency and Manipulation
This work is incremental, refining theoretical understanding for researchers and policymakers in ethics and AI governance.
The paper addresses concerns about algorithmic transparency's manipulative potential by critiquing existing views and proposing the indifference view as a better explanation, while also identifying future research questions.
A series of recent papers raises worries about the manipulative potential of algorithmic transparency. But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the indifference view of manipulation, which explains better than the vulnerability view why algorithmic transparency has manipulative potential. The paper also raises pertinent research questions for future studies of manipulation in the context of algorithmic transparency.