Generative AI Leader Practice Question: The primary purpose of Google DeepMind's SynthID…

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  To remove harmful content from AI outputs

  Why it's wrong here

  SynthID applies a watermark identifying content as AI-generated; it performs no content moderation or filtering. Removing harmful output is handled by safety filters and moderation layers, which would be the right selection when the requirement is blocking or sanitising harmful model responses.

• ✗

  To encrypt AI-generated content for secure transmission

  Why it's wrong here

  SynthID embeds imperceptible watermarks into AI-generated output so it can later be identified as synthetic; it does not encrypt content. Encryption is the right tool when the requirement is confidentiality of AI-generated material in transit, which is a separate security concern.

• ✗

  To improve the accuracy of generative AI models

  Why it's wrong here

  SynthID watermarks generated content for later detection; it does not alter model training or inference to raise accuracy. Improving accuracy is the goal of techniques such as fine-tuning or retrieval augmentation, which is the correct choice when output quality is the stated problem.

• ✓

  To detect AI-generated content and identify the model that created it

  Why this is correct

  SynthID embeds imperceptible digital watermarks directly into AI-generated output, then detects those marks to verify provenance. This satisfies the stem's requirement for identifying AI-generated content and attributing it to the originating model, since the watermark survives edits and is statistically detectable without external metadata.

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