From a pessimist’s point of view, the global data privacy and data protection trend toward regulation has thrown a wrench into the progress and innovation around machine learning (ML) and AI technologies. Restrictions for data collection, access, and processing limit what can be done to data, for what purpose and by whom. ML and AI thrive on expansive training sets, and any restrictions around usage are (often incorrectly) perceived as a threat by organizations that wish to use this data to develop self-training algorithms geared toward automated use cases.
Why read this eBook:
- Find out how ML and AI deal with GDPR guidelines
- Learn about how courts will play a major role in interpretation
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