Race After Technology: AI and Systemic Bias

This curation examines how artificial intelligence can perpetuate racial bias, revealing the ethical stakes involved. By exploring various facets of AI's influence on society, we aim to highlight the urgent need for accountability and reform.

1. Read
   Ethics of artificial intelligence · Wikipedia

   Defines the ethical considerations of artificial intelligence, focusing on algorithmic biases and their implications for human decision-making.

2. Read
   

   A US government study confirms most face recognition systems are racist · MIT Technology Review

   Documents a landmark study revealing that nearly 200 face recognition algorithms perform poorly on nonwhite faces, highlighting systemic bias in technology.

3. Watch
   

   "Coded Bias": New Film Looks at Fight Against Racial Bias in Facial Recognition & AI Technology · YouTube

   Presents a documentary that examines the dangers of AI, particularly how it reflects and amplifies racial biases in society.

4. Book
   

   Race After Technology: Abolitionist Tools for the New Jim Code · Bookshop.org

   Argues that technology, including AI, can reinforce racial injustices, prompting critical reflection on equity and justice in technological development.

Each selected piece contributes to a comprehensive understanding of AI's role in reinforcing systemic racism. From foundational ethics to concrete studies and visual narratives, these works collectively illustrate the pervasive nature of bias in AI technologies and the pressing need for equitable solutions.

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