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TDWI Upside - Where Data Means Business

Data Digest: AI Bias, Machine Learning Lies, and Poisoning AI

Recent research has tried to create less biased algorithms, falsely represented ML accuracy, and shown how AI can be corrupted with bad data.


Training Fairer AI

Researchers are testing a framework that could create algorithms smart enough to avoid bias.

Read more at Los Angeles Times

When ML Is All Hype

Some machine learning claims aren't just unbelievable, they're actually misleading.

Read more at Predictive Analytics Times

Hidden Ways to Hack AI

Experiments show that AI algorithms could potentially be undermined or controlled by specific changes to training data sets.

Read more at Wired

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