AWS Certified AI Practitioner AIF-C01 Practice Question
Which requirement is most commonly imposed by emerging algorithm accountability laws that govern the use of AI systems deployed on AWS or any other platform?
Conduct documented impact or bias assessments of automated decision systems and make the findings available for review.
Encrypt all training and inference data both at rest and in transit using AWS-managed keys.
Limit the size of machine-learning training datasets to reduce the overall carbon footprint of computations.
Run all AI workloads exclusively in on-premises data centers located within the organization's country of origin.
Algorithm accountability laws, such as the U.S. Algorithmic Accountability Act proposal and New York City Local Law 144, focus on ensuring automated decision systems are fair and transparent. They typically require organizations to document how an algorithm works, perform impact or bias assessments, and make the results available to regulators or the public. While encryption, data residency, and environmental concerns are important, they are addressed by other security, privacy, or sustainability regulations rather than by algorithm accountability statutes.
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AWS Certified AI Practitioner AIF-C01
Security, Compliance, and Governance for AI Solutions
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