What historical framework significantly influences AI ethical standards today?

The Fair Information Practice Principles (FIPPs) are a foundational framework that has significantly shaped contemporary AI ethical standards. Originating in the 1970s, the FIPPs emerged in response to the growing concerns over personal data usage and privacy, especially with the advent of computerized data processing. These principles emphasize key concepts such as notice (transparency), choice (consent), access (individual rights to data), and accountability (responsibility for data handling).

In the context of AI ethics, the FIPPs serve as a guiding philosophy for ensuring that AI systems respect individual privacy and promote fairness. They provide a basis for developing frameworks that govern data collection and use in AI applications, focusing on consumer rights and ethical considerations around data processing. Today, various organizations and governance bodies referring to the FIPPs aim to ensure that AI technologies are developed and implemented in a manner that is not only technically sound but also ethically responsible.

The other historical frameworks mentioned, while important in their own right, do not have the same level of direct influence on AI ethics as the FIPPs. The U.S. Constitution provides broader legal principles related to rights and governance but does not specifically address technology. The OECD Guidelines for AI set out principles aimed at promoting trustworthy AI