IAPP AIGP Dumps Questions Answers

For the artist to receive copyright protection, the most effective approach is to demonstrate that the final artwork includes sufficient creative input by the artist. By updating or altering the images in a way that reflects the artist ' s personal creativity, the artist can claim originality, which is a core requirement for copyright protection under U.S. law. The other options do not directly address the originality and creative input required for copyright. This is highlighted in the sections on copyright protection in the IAPP AIGP Body of Knowledge.

Third-party risk management for AI systems should beproportional and risk-based, involvinginitial due diligenceandongoing monitoringthat reflects thelevel of risk posedby the third party ' s AI system.

From theAI Governance in Practice Report 2025:

“Third-party due diligence assessments to identify possible external risk and inform selection.” (p. 11)

“Legal due diligence may include verification of the personal data ' s lawful collection by the data broker, review of contractual obligations…” (p. 19)

Afocuses too narrowly on financial stability.

Cis excessive and not scalable or aligned with best practices.

Dinappropriately separates ethical and technical risks; both must be evaluated holistically.

The correct answer is C. This option concerns consent, which is generally a privacy, transparency, or institutional governance issue rather than a copyright issue. Copyright risk in AI governance usually relates to whether protected third party works were used in model training, whether generated outputs may reproduce copyrighted expression, and whether content is created without proper attribution or clear ownership boundaries. That makes options A, B, and D directly relevant to copyright and intellectual property concerns. In contrast, whether students must expressly consent deals with notice, fairness, and lawful or ethical use in an educational environment. For AIGP exam purposes, it is important to separate intellectual property risks from privacy and data protection obligations, even when both appear in the same classroom or organizational AI use case.