Algorithmic bias and risk assessments: Lessons from practice
In this paper, we distinguish between different sorts of assessments of algorithmic systems,
describe our process of assessing such systems for ethical risk, and share some key …
describe our process of assessing such systems for ethical risk, and share some key …
An algorithmic equity toolkit for technology audits by community advocates and activists
A wave of recent scholarship documenting the discriminatory harms of algorithmic systems
has spurred widespread interest in algorithmic accountability and regulation. Yet effective …
has spurred widespread interest in algorithmic accountability and regulation. Yet effective …
Algorithmic Harms and Algorithmic Wrongs
N Diberardino, C Baleshta, L Stark - The 2024 ACM Conference on …, 2024 - dl.acm.org
New artificial intelligence (AI) systems grounded in machine learning are being integrated
into our lives at a rapid rate, but not without consequence: scholars across domains have …
into our lives at a rapid rate, but not without consequence: scholars across domains have …
Beyond fairness, accountability, and transparency in the ethics of algorithms: Contributions and perspectives from LIS
Recent debates have revealed the urgent need for work addressing social and ethical
implications of the algorithmic and data‐driven systems that govern our lives. Focusing …
implications of the algorithmic and data‐driven systems that govern our lives. Focusing …
Problematic machine behavior: A systematic literature review of algorithm audits
J Bandy - Proceedings of the acm on human-computer …, 2021 - dl.acm.org
While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …
little scholarly work has gone toward synthesizing prior work and strategizing future research …
Harms from increasingly agentic algorithmic systems
A Chan, R Salganik, A Markelius, C Pang… - Proceedings of the …, 2023 - dl.acm.org
Research in Fairness, Accountability, Transparency, and Ethics (FATE) 1 has established
many sources and forms of algorithmic harm, in domains as diverse as health care, finance …
many sources and forms of algorithmic harm, in domains as diverse as health care, finance …
Rethinking artificial intelligence: algorithmic bias and ethical issues| making algorithms public: reimagining auditing from matters of fact to matters of concern
Stakeholders concerned with bias, discrimination, and fairness in algorithmic systems are
increasingly turning to audits, which typically apply generalizable methods and formal …
increasingly turning to audits, which typically apply generalizable methods and formal …
Algorithmic impact assessments at scale: Practitioners' challenges and needs
A Ashar, K Ginena, M Cipollone, R Barreto… - Journal of Online Trust …, 2024 - tsjournal.org
Abstract Algorithmic Impact Assessments (AIAs) are often suggested as a tool to help identify
and evaluate actual and potential harms of algorithmic systems. While the existing literature …
and evaluate actual and potential harms of algorithmic systems. While the existing literature …
The algorithm audit: Scoring the algorithms that score us
In recent years, the ethical impact of AI has been increasingly scrutinized, with public
scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This …
scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This …
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 …