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bias, issues of interpretability and unequal access. To address these concerns, international
            frameworks such as the United Nations Educational, Scientific and Cultural Organization (UNESCO)’s
            Recommendation on the Ethics of Artificial Intelligence (UNESCO, 2024) and the Institute of
            Electrical and Electronics Engineers (IEEE)’s P7000 series provide structured methodologies for
            risk assessment and ethical governance (IEEE, 2021). Complementary initiatives like the IEEE’s
            Ethically Aligned Design and OECD’s AI Principles further outline requirements for transparency,
            accountability and human oversight. Despite this progress, approximately 85 per cent of ITU
            member states currently lack dedicated AI governance policies, underscoring the urgency of
            institutional capacity-building in this domain (ITU, 2024; Chakraborty, 2024; Hamin & Hanson,
            2024).

            Cities should mandate ethics impact assessments for all algorithmic systems, particularly those
            deployed in high-stakes areas such as predictive policing or social welfare eligibility. These
            assessments should be accompanied by legally codified requirements for transparency such as
            public model documentation, audit trails and provisions for human-in-the-loop decision-making.
            In the case of blockchain applications used for public registries or financial services, policymakers
            must consider not only technical performance but also inclusivity, governance mechanisms and
            the socio-economic implications of decentralization, ensuring that no group is inadvertently
            marginalized.


            Moreover, blockchain-based DPI systems should adhere to internationally recognized standards
            (e.g., W3C’s decentralized identifiers, and blockchain requirements and functional architectures in
            relevant ITU-T Recommendations on IoT, digital twins and smart sustainable cities and communities)
            to support verifiable credentials and self-controlled identity, protecting ownership, control and
            usage of their sensitive data online, while avoiding single points of failure. To ensure global
            alignment and context-sensitive governance, policymakers must advance multilateral cooperation
            and embed ethical principles within culturally responsive frameworks, an approach increasingly
            emphasized in multilateral forums such as the G20’s Digital Public Infrastructure agenda.


            7.4     Accessibility and inclusion standards


            The digital divide is characterized by unequal access and fragmented solutions. DPI offers
            accessible learning opportunities for all and the digital transformation of the education space by
            providing a strong yet flexible foundation, an infrastructure that enables a plug-and-play approach
            for educational applications, fostering innovation and driving real impact (UNDP, n.d. b).


            Inclusive DPI requires strict adherence to accessibility standards that address the needs of
            marginalized populations, particularly persons with disabilities. Standards like ITU-T Y.4204,
            ITU-T Y.4211 and ITU-T Y.4219 are increasingly recognized as best practices in different smart
            cities and communities use cases for accessibility and inclusion. Frameworks such as the WCAG
            and ISO 30071-1 provide comprehensive technical and organizational guidance for designing
            barrier-free digital interfaces. These include specifications for screen reader compatibility, logically






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