From the course: The AI Equity Imperative: Building a More Inclusive Future with AI
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Recognizing the risks of AI deployment
From the course: The AI Equity Imperative: Building a More Inclusive Future with AI
Recognizing the risks of AI deployment
- Recognizing the risk of AI deployment requires proactive assessment of potential harms across multiple dimensions. While AI offers significant benefits, responsible deployment demands an honest evaluation of risk related to bias, environmental impacts, and security vulnerabilities. Bias and discrimination represent fundamental risk that can amplify existing social inequities. AI systems reflect the data used to train them, often incorporating historical patterns of discrimination. When deployed, these systems can automate and scale biased decisions across healthcare, hiring, lending, and criminal justice. Predictive policing algorithms trained on historically biased arrest data may direct more surveillance to already over policed communities creating harmful feedback loops. Representational harms occur when AI systems reinforce negative stereotypes about certain groups through text or image outputs further marginalizing vulnerable populations. Researchers have found that these…
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