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AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values

George Manias · Spiros Borotis · Charalampos Chatzimallis · Theodoros Chatzipantelis · Marcelo Corrales Compagnucci · Tanja Zdolšek Draksler +22 more

34 citations0/0 files storedInternational Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

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Ethics and Social Impacts of AI E-Government and Public Services Explainable Artificial Intelligence (XAI)

Abstract

As Artificial Intelligence (AI) becomes more integrated into public governance, concerns about its transparency and accountability have become increasingly important. The use of AI in decision-making processes raises questions about bias, fairness, and the protection of individual fundamental rights. To ensure that AI is used in a way that upholds democratic values, it is essential to develop systems that are trustworthy, transparent, and accountable. Trusted AI allows citizens to have greater trust in public organizations and their decision-making processes, while it also enables public authorities and policy makers to be more transparent and accountable, providing citizens with greater visibility into how policies are developed. In addition, it encourages the use of AI in a way that promotes fairness and equity, ensuring that decision-making processes are unbiased and discrimination free against certain groups of individuals. This paper investigates how these desirable attributes can be developed in ways that are feasible and effective through the design of a holistic environment that incorporates AI and Big Data management mechanisms while preserving that the AI technology should be shaped around human rights, values, and societal needs. Societal change and evidence-based policies will be achieved through the extension of business and policy making processes with advanced approaches, such as eXplainable AI (XAI) and Situation-Aware Explainability (SAX). To this end, a novel approach is proposed, which will converge techniques and research on multiple domains, including social sciences, Trustworthy AI, Ethical AI, Big Data analytics, IoT, and blockchain into a unified ecosystem.

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References

2019The global landscape of AI ethics guidelines 2016The ethics of algorithms: Mapping the debate 2018Artificial Intelligence and the Public Sector—Applications and Challenges 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias 2018Societal and ethical issues of digitization 2020Improving public services using artificial intelligence: possibilities, pitfalls, governance 2019Artificial Discretion as a Tool of Governance: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration 2020Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy

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