Responsible Data Handling
Chris emphasizes the importance of data science and AIML community responsibility in protecting data from misuse. Daniel discusses de-identification methods like pseudonyms and masking to safeguard sensitive information, highlighting the need for responsible data handling in the industry.In this clip
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Practical AI
Privacy in the age of AI
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