125 citations · 129 across the 4 of their papers we have counts for
5 papers · 1 filter
The Objective Function: Science and Society in the Age of Machine Intelligence
Emanuel Moss
Machine intelligence, or the use of complex computational and statistical practices to make predictions and classifications based on data representations of phenomena, has been app…
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation
Jacob Metcalf, Emanuel Moss, Ranjit Singh +2
Central to a number of scholarly, regulatory, and public conversations about algorithmic accountability is the question of who should have access to documentation that reveals the…
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer +1
In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential f…
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability
Mona Sloane, Emanuel Moss, Rumman Chowdhury
In this paper, we suggest a systematic approach for developing socio-technical assessment for hiring ADS. We suggest using a matrix to expose underlying assumptions rooted in pseud…
Participation is not a Design Fix for Machine Learning
Mona Sloane, Emanuel Moss, Olaitan Awomolo +1
This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against 'participation-washing', it suggests that the ML communit…