The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI
Introduction With trends revealing the general populace’s growing use of Artificial Intelligence (AI), it is becoming more evident that we, as a society, are becoming dependent on AI. Given the increased use of AI, it is important to note that AI technologies also possess inherent social and cultural biases that reflect and perpetuate existing…
Read MoreCredit Where Credit is Due?: Race, Gender, and Discrimination in the Credit Scores of Business Startups
Introduction Access to sufficient and affordable credit is a key determinant of a business startup’s ability to finance projects and pursue growth opportunities. An entrepreneur’s creditworthiness is often assessed using their credit score, which has been lauded for expanding access to credit and financing to credit-worthy business owners. However, research also suggests the credit-scoring process…
Read MoreDissecting racial bias in an algorithm used to manage the health of populations
Introduction Obermeyer et al. note both the growing attention to potential racial and gender biases within algorithms and the difficulty of obtaining access to real world algorithms – including the raw data used to design and train them – in order to understand how and why bias could appear in them. This study is important…
Read MoreAssessing risk, automating racism
Introduction This article addresses the growing public concern regarding the automation of racial discrimination through digital tools and technology. Throughout the paper, the author, Dr. Ruha Benjamin, focuses her discussion on a notable publication by Obermeyer et al. entitled, “Dissecting racial bias in an algorithm used to manage the health of populations.” Unlike most researchers who…
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