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Fairness Design – Fairness design


Fairness Design – Fairness design: a policy model for designing ...

The fairness design model was developed and tested on digital government forms and apps in Singapore that were issued during the SARS-CoV-2 (Covid-19) pandemic.

Fairness design model

Fairness design thus emphasises that a form be designed such that the least advantaged user is given an equal chance as all other users to complete a process, ...

Fairness in Design: A Framework for Facilitating Ethical Artificial ...

We propose the Fairness in Design (FID) framework to help AI software designers surface and explore complex fairness-related issues, that otherwise can be ...

Fairness as a design principle - Fairness Foundation

FAIR TREATMENT / Everyone should be treated according to need, enjoying equal respect and equal influence on decisions made in their name. Then ...

Make “Fairness by Design” Part of Machine Learning

Bias in machine learning is a real problem. When models don't perform as intended, people and process are normally to blame.

Discrimination for the sake of fairness by design and its legal ...

This paper asks whether such wariness is justified in light of EU data protection and anti-discrimination laws.

Fairness by design: Towards a child-rights approach to digital fairness

“Embedding fairness into data processing and the design of digital technologies by addressing children's needs and expectations while promoting ...

Algorithmic Design: Fairness Versus Accuracy∗

We propose a model in which a designer chooses an algorithm that maps observed inputs into decisions, and introduce a fairness-accuracy Pareto fron- tier. We ...

Recommend Me? Designing Fairness Metrics with Providers

We explored how our participants experience unfairness on their associated platforms, and worked with them to co-design fairness goals, ...

How to design algorithms with fairness in mind - Stanford Engineering

Algorithms are behind many serious decisions in mortgages, medicine, and a range of other areas. A computer scientist explains how we can ...

Fairness Design: Re-Thinking Digital Government Forms as Sites of ...

The fairness design model leverages on the social contract to reframe the relationship between issuers and users to that of reciprocity, mutual ...

Algorithm Design: A Fairness-Accuracy Frontier - UCLA Economics

motivated by settings where a designer has fairness concerns, but another agent setting the algorithm does not. For example, a healthcare ...

Designing a fairness workflow for your ML models - TruEra

A complete fairness workflow will identify bias, perform a root cause analysis to determine whether the bias is justified, and then employ a targeted ...

[2112.09975] Algorithm Design: A Fairness-Accuracy Frontier - arXiv

We propose and characterize a fairness-accuracy frontier, which consists of the optimal points across a broad range of preferences over fairness ...

An Exploratory Study on Fairness-Aware Design Decision-Making

Subsequently, we introduce standard definitions and statistical measures of fairness to the engineering design research. Then, we use the outcomes from two ...

Fairness and Accountability Design Needs for Algorithmic Support in ...

We interviewed 27 public sector machine learning practitioners across 5 OECD countries regarding challenges understanding and imbuing public values into their ...

Fairness in Design: A Framework for Facilitating Ethical Artificial ...

The framework is integrated into a step-by-step card game for AI system designers to employ during the design and conception stage of the life-cycle process.

Hardware design and the fairness of a neural network - Nature

Here we analyse the impact of the underlying hardware on the task of pursuing fairness. We use neural network accelerators with compute-in-memory architecture ...

Algorithmic Design: A Fairness-Accuracy Frontier

Algorithm designers increasingly optimize not only for accuracy but also fairness, defined as how similar accuracy is across demographic ...

Designing fair AI for managing employees in organizations

This results in a fragmented and incoherent view of both the problem and design space related to AI fairness. Nonetheless, AI must be designed to be fair and ...