首页|Researchers at Vishwakarma Institute of Information Technology Report Research i n Machine Learning (Addressing Bias in Machine Learning Algorithms: Promoting Fa irness and Ethical Design)

Researchers at Vishwakarma Institute of Information Technology Report Research i n Machine Learning (Addressing Bias in Machine Learning Algorithms: Promoting Fa irness and Ethical Design)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news originating from the Vishwakarma In stitute of Information Technology by NewsRx correspondents, research stated, "Ma chine learning algorithms have quickly risen to the top of several fields' decis ion-making processes in recent years." Our news correspondents obtained a quote from the research from Vishwakarma Inst itute of Information Technology: "However, it is simple for these algorithms to confirm already present prejudices in data, leading to biassed and unfair choice s. In this work, we examine bias in machine learning in great detail and offer s trategies for promoting fair and moral algorithm design. The paper then emphasis es the value of fairnessaware machine learning algorithms, which aim to lessen b ias by including fairness constraints into the training and evaluation procedure s. Reweighting, adversarial training, and resampling are a few strategies that c ould be used to overcome prejudice. Machine learning systems that better serve s ociety and respect ethical ideals can be developed by promoting justice, transpa rency, and inclusivity." According to the news reporters, the research concluded: "This paper lays the gr oundwork for researchers, practitioners, and policymakers to forward the cause o f ethical and fair machine learning through concerted effort."

Vishwakarma Institute of Information Tec hnologyAlgorithmsCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)