Why your AI is only as good as its bad data
In short: As algorithms begin to power the global economy, they are inheriting our worst biases. Data scientist Mainak Mazumdar explores how low-quality data creates flawed AI and identifies the structural resets required to build ethical systems.
Mazumdar argues that the future economy will be driven by artificial intelligence rather than traditional human labor or factories. However, when these systems are trained on biased or poor-quality data, they produce incorrect predictions and decisions. He illustrates these consequences with real-world examples from cities like Shanghai and New York City.
To move toward ethical AI, Mazumdar proposes three specific infrastructural resets. The talk is essential for understanding that the problem isn't just the technology itself, but the underlying data architecture that shapes its outputs.
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Sources
- Summary by Intellect · source: How bad data keeps us from good AI | Mainak Mazumdar
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