Page 44 - Cyber Defense eMagazine July 2024

knowing that nothing is ever easy – there are highly publicized instances of AI being over-corrected by
manual intervention, such as with Google’s Perspective API, an AI tool developed to curb hate speech
online. It faced criticism that it was overcorrecting and censoring words used in benign contexts and
sparking conversations about free speech and policing AI.

Blueprint for an AI Bill of Rights

To address the aforementioned risks, many have looked to government regulations. One example is
provided by the White House Office of Science and Technology Policy (OSTP) which introduced a
Blueprint for an AI Bill of Rights in 2022, designed to protect civil rights of the American public as the
world adapts to AI seeping into nearly every aspect of society. This framework outlines five principles:

Safe and Effective Systems

AI systems must be thoroughly vetted with rigorous testing and ongoing monitoring to ensure they are
safely and effectively operating. This is achieved with pre-deployment testing, risk identification and
mitigation, and continuous monitoring. Implementing safety measures with regular audits to verify system
performance and reliability is key to this success. The foundational goal of protecting users from harm,
along with building public trust in AI technologies is dependent on prioritizing both safety and efficacy of
these systems. Transparency is paramount in the development process, so that AI systems are both
technically sound and in alignment with ethical standards and user expectations.

Algorithmic Discrimination Protections
AI systems must be prevented from perpetuating existing biases and discrimination, while designed in
an equitable way. Designers, developers, and deployers of AI systems must include safeguards to
actively identify, address, and mitigate biases in algorithms and data sets. Leveraging diverse and
representative training data helps proactively minimize the risk of discriminatory outcomes. The use of
regular audits and impact assessments can aid in detecting and correcting biases in the AI decision-
making processes. By implementing these protections, AI systems are better positioned to treat
individuals fairly, regardless of race, gender, religion, or other protected classifications, leading to more
inclusivity and effectiveness.

Data Privacy

The rights associated with strong data privacy and security protections underscore the criticality of
individual control and agency over personal data. Achieving this principle involves preventing
compromises around unauthorized access, misuse, and exploitation requires robust security practices to
be in place, along with providing transparency about data collection practices. Individuals must be clearly
informed about how their data is being used and given the opportunity to make informed choices about

Cyber Defense eMagazine – July 2024 Edition 44
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