Development of a Method for Ensuring Fairness of an Artificial Intelligence System in the Implementation Process

Author:

Shin Yejin1,Cho KyoungWoo1,Kwak Joon Ho1,Hwang JaeYoung1

Affiliation:

1. Telecommunications Technology Association,AI Trustworthiness Verification Team,Seongnam,Republic of Korea

Publisher

IEEE

Reference15 articles.

1. A survey on bias and fairness in machine learning;mehrabi;A survey on bias and fairness in machine learning ACM Computing Surveys (CSUR),2022

2. UNESCO;Recommendation on the ethics of artificial intelligence,2021

3. Mitigating Unwanted Biases with Adversarial Learning

4. Classification with Fairness Constraints

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1. A Study on Prompt Types for Harmlessness Assessment of Large-Scale Language Models;Communications in Computer and Information Science;2024

2. Study on Test Plan Establishment for Enhancing Trustworthiness of Artificial Intelligence Systems;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

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