14How do you handle copyright and IP risk with generative AI (training data and outputs)?▼mediumOpenAIGoogleMicrosoft1 replies○ sign inCopyright is one of the biggest unresolved risks in generative AI, on both the training and output side. The signal is naming both exposures and the engineering mitigations for each, not offering a legal opinion. Here is the engineer's framing.Open full answer →
16How do you watermark AI-generated content and establish provenance (e.g. against deepfakes)?▼mediumGoogleOpenAIAdobe1 replies○ sign inAs generation gets indistinguishable from real, knowing what is AI-made matters for trust, misinformation, and regulation. The signal is the split between in-content watermarks and attached provenance metadata, and that detection is an arms race. Here is the answer.Open full answer →
32What are the supply-chain risks in AI (models, data, dependencies), and how do you manage them?▼mediumGoogleMicrosoftAnthropic1 replies◆ premiumEvery third-party model, dataset, and library is an attack surface: backdoors, poisoning, arbitrary code on load, license landmines. The signal is treating models and data as supply-chain artifacts that need provenance and vetting. Here is the answer.Open full answer →
