Algorithms and decision-making in the public sector
K Levy, KE Chasalow, S Riley - Annual Review of Law and …, 2021 - annualreviews.org
This article surveys the use of algorithmic systems to support decision-making in the public
sector. Governments adopt, procure, and use algorithmic systems to support their functions …
sector. Governments adopt, procure, and use algorithmic systems to support their functions …
Accountability in an algorithmic society: relationality, responsibility, and robustness in machine learning
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 …
erosion of accountability in society due to the ubiquitous delegation of consequential …
In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech Industry
MK Scheuerman - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Research on technology companies and their workers can externalize otherwise invisible
and tacit workplace approaches, identify organizational constraints to creating more ethical …
and tacit workplace approaches, identify organizational constraints to creating more ethical …
Toward situated interventions for algorithmic equity: lessons from the field
Research to date aimed at the fairness, accountability, and transparency of algorithmic
systems has largely focused on topics such as identifying failures of current systems and on …
systems has largely focused on topics such as identifying failures of current systems and on …
Confronting power and corporate capture at the FAccT Conference
Fields such as medicine and public health attest to deep conflict of interest concerns present
when private companies fund evaluation of their own products and services. We draw on …
when private companies fund evaluation of their own products and services. We draw on …
Personalized nudging
S Mills - Behavioural Public Policy, 2022 - cambridge.org
A criticism of behavioural nudges is that they lack precision, sometimes nudging people who–
had their personal circumstances been known–would have benefitted from being nudged …
had their personal circumstances been known–would have benefitted from being nudged …
An action-oriented AI policy toolkit for technology audits by community advocates and activists
Motivated by the extensive documented disparate harms of artificial intelligence (AI), many
recent practitioner-facing reflective tools have been created to promote responsible AI …
recent practitioner-facing reflective tools have been created to promote responsible AI …
Outlining traceability: A principle for operationalizing accountability in computing systems
JA Kroll - Proceedings of the 2021 ACM Conference on Fairness …, 2021 - dl.acm.org
Accountability is widely understood as a goal for well governed computer systems, and is a
sought-after value in many governance contexts. But how can it be achieved? Recent work …
sought-after value in many governance contexts. But how can it be achieved? Recent work …
Representativeness in statistics, politics, and machine learning
K Chasalow, K Levy - Proceedings of the 2021 ACM Conference on …, 2021 - dl.acm.org
Representativeness is a foundational yet slippery concept. Though familiar at first blush, it
lacks a single precise meaning. Instead, meanings range from typical or characteristic, to a …
lacks a single precise meaning. Instead, meanings range from typical or characteristic, to a …
[HTML][HTML] Data Trusts as a Service: Providing a platform for multi‐party data sharing
The major setback for data sharing is that data producers (ie, subjects) are not able to
determine how their data is being used/misused by data collectors (custodians). In view of …
determine how their data is being used/misused by data collectors (custodians). In view of …