# Quantum Fair Machine Learning

@article{Perrier2021QuantumFM, title={Quantum Fair Machine Learning}, author={Elija Perrier}, journal={Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society}, year={2021} }

In this paper, we inaugurate the field of quantum fair machine learning. We undertake a comparative analysis of differences and similarities between classical and quantum fair machine learning algorithms, specifying how the unique features of quantum computation alter measures, metrics and remediation strategies when quantum algorithms are subject to fairness constraints. We present the first results in quantum fair machine learning by demonstrating the use of Grover's search algorithm toβ¦Β

## 5 Citations

### Ethical Quantum Computing: A Roadmap

- Computer Science
- 2021

This paper presents a roadmap for ethical quantum computing (and quantum information processing more generally) that sets out prospective research programmes and summarises the key elements of quantum informationprocessing relevant to ethical analysis and set-out taxonomies for use by researchers considering the ethics of quantum technologies.

### Artificial Intelligence Computing at the Quantum Level

- Computer ScienceData
- 2022

This paper provides a thorough examination of quantum computing from the perspective of a physicist to give laypeople and scientists a broad but in-depth understanding of the area.

### The Quantum Governance Stack: Models of Governance for Quantum Information Technologies

- Political ScienceDigital Society
- 2022

The emergence of quantum information technologies with potential application across diverse industrial, consumer and technical domains has thrown into relief the need for practical approaches toβ¦

### Democratization of Quantum Technologies

- Political Science
- 2022

As quantum technologies (QT) have been becoming more and more realized, their potential impact on and relation with society has been developing into a pressing issue for exploration. In this paper,β¦

### Exploring bias and fairness in artificial intelligence and machine learning algorithms

- Computer ScienceDefense + Commercial Sensing
- 2022

This paper investigates if there is any bias present in the benchmark Statlog βAustralian Credit Approvalβ dataset and takes necessary measures to mitigate the bias presentIn this paper, the AIF360 tool can identify and mitigate bias in the data and eventually in the learning algorithms.

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