Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
Published:Feb 13, 2020 20:53
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses algorithmic injustices and relational ethics, focusing on a conversation with Abeba Birhane. Birhane, a PhD student and author of a paper on the topic, explores the ethical considerations of AI, particularly the 'harm of categorization' and the limitations of current machine learning models in addressing ethical scenarios. The article highlights the potential of relational ethics as a solution to these issues. The focus is on the ethical implications of AI development and deployment, emphasizing the need for a more nuanced approach.
Key Takeaways
- •The article explores the ethical challenges of AI, particularly algorithmic bias and the harm of categorization.
- •It highlights the limitations of current machine learning models in addressing ethical considerations.
- •Relational ethics is presented as a potential solution to mitigate these issues and promote fairness in AI.
Reference
“The article doesn't contain a direct quote, but it discusses the core ideas of Birhane's paper.”