[HTML][HTML] Conceptualising fairness: three pillars for medical algorithms and health equity
Objectives Fairness is a core concept meant to grapple with different forms of discrimination
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
A growing body of literature has proposed formal approaches to audit algorithmic systems
for biased and harmful behaviors. While formal auditing approaches have been greatly …
for biased and harmful behaviors. While formal auditing approaches have been greatly …
From treatment to healing: envisioning a decolonial digital mental health
The field of digital mental health is making strides in the application of technology to
broaden access to care. We critically examine how these technology-mediated forms of care …
broaden access to care. We critically examine how these technology-mediated forms of care …
The dimensions of data labor: A road map for researchers, activists, and policymakers to empower data producers
Many recent technological advances (eg ChatGPT and search engines) are possible only
because of massive amounts of user-generated data produced through user interactions …
because of massive amounts of user-generated data produced through user interactions …
Algorithmic collective action in machine learning
M Hardt, E Mazumdar… - International …, 2023 - proceedings.mlr.press
We initiate a principled study of algorithmic collective action on digital platforms that deploy
machine learning algorithms. We propose a simple theoretical model of a collective …
machine learning algorithms. We propose a simple theoretical model of a collective …
Behavioral use licensing for responsible ai
With the growing reliance on artificial intelligence (AI) for many different applications, the
sharing of code, data, and models is important to ensure the replicability and …
sharing of code, data, and models is important to ensure the replicability and …
Bargaining with the black-box: Designing and deploying worker-centric tools to audit algorithmic management
D Calacci, A Pentland - Proceedings of the ACM on Human-Computer …, 2022 - dl.acm.org
The increasing prevalence of large-scale labor aggregation platforms, worker analytics, and
algorithmic decision-making by management raises the question of whether workers can …
algorithmic decision-making by management raises the question of whether workers can …
Measuring the monetary value of online volunteer work
Online volunteers are a crucial labor force that keeps many for-profit systems afloat (eg
social media platforms and online review sites). Despite their substantial role in upholding …
social media platforms and online review sites). Despite their substantial role in upholding …
Data refusal from below: A framework for understanding, evaluating, and envisioning refusal as design
Amidst calls for public accountability over large data-driven systems, feminist and
indigenous scholars have developed refusal as a practice that challenges the authority of …
indigenous scholars have developed refusal as a practice that challenges the authority of …
Tech worker organizing for power and accountability
In recent years, there has been a growing interest in the field of “AI Ethics” and related areas.
This field is purposefully broad, allowing for the intersection of numerous subfields and …
This field is purposefully broad, allowing for the intersection of numerous subfields and …