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Addressing Bias in AI: Insights from Leading Experts in Anti-Black Racism Initiatives

Addressing Bias in AI: Insights from Leading Experts in Anti-Black Racism Initiatives Dive into the critical conversation surrounding anti-Black racism in AI applications and algorithms. This insightful discussion, originating from the summer of 2020 in response to the tragic events surrounding George Floyd, focuses on the ongoing efforts within the College of Behavioral and Social Sciences at our campus. Experts in the field shed light on the challenges of addressing bias in AI. From the development of algorithms to the data input and the power dynamics at play, this conversation explores the complexities of combating bias in technology.

The discussion highlights real-world examples, including the pitfalls of convenience sampling and the misclassification of individuals, as seen in Amazon’s Recognition program. The importance of diversity in the development room is emphasized, emphasizing the need for varied perspectives to ensure fair and unbiased technology. The conversation extends to the classroom, where educators share insights on preparing students to navigate the ethical implications of AI in their academic and professional lives. Learn about ongoing projects aimed at understanding the experiences of Black women in Tech and the initiatives taken by graduate students to explore the intersection of race and gender in AI-generated faces.

Gain valuable insights into mentoring challenges faced by women of color in PhD programs, highlighting the necessity of addressing biases not only in classrooms but also in internship spaces. The conversation underscores the importance of recognizing the social implications of AI and encourages viewers to be active participants in driving positive change. This discussion serves as a call to action, urging everyone to contribute to making meaningful changes in the tech industry. As the experts on stage affirm, if they can do it, so can you. 

AI & Anti Black Racism Panel

Experts in the field shed light on the challenges of addressing bias in AI. From the development of algorithms to the data input and the power dynamics at play, this conversation explores the complexities of combating bias in technology.

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