The Ethical Use of Machine Learning to Combat Injustice

Friday, 12 July 2024, 17:15

This insightful post delves into the negative impacts of machine learning on marginalized communities, highlighting how it can restrict opportunities and perpetuate injustice. By emphasizing the importance of ethical and responsible use of ML, the article suggests actionable steps to promote fairness and inclusivity in AI technologies.

Builtin — The Ethical Use of Machine Learning to Combat Injustice

Machine Learning and Social Equity

This article examines the impact of machine learning on minority groups and injustice issues.

Challenges of Bias in ML

The gatekeeping role of ML
Effects on opportunities for marginalized communities
The need for ethical considerations in AI development

By prioritizing ethical frameworks and fairness, organizations can work towards a more inclusive technological landscape.

This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

Machine Learning and Social Equity

Challenges of Bias in ML

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