AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values
Research output: Contribution to journal › Conference article › Research › peer-review
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AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values. / Manias, George; Apostolopoulos, Dimitris ; Athanassopoulos, Sotiris ; Borotis, Spiros ; Chatzimallis, Charalampos ; Chatzipantelis, Theodoros ; Corrales Compagnucci, Marcelo; Zdolsek Draksler, Tanja ; Fournier, Fabiana ; Goralczyk, Magdalena ; Gucek, Alenka; Karabetian, Andreas ; Kefala, Stavroula ; Kotios, Dimitris ; Kovacic, Matej ; Kyrkou, Danai ; Limonad, Lior ; Magopoulou, Sofia ; Mavrogiorgos, Konstantinos ; Moumtzi, Vasiliki ; Nechifor, Septimiu ; Ntalaperas, Dimitris ; Panagiotidou, Georgia ; Papadopoulou, Martha ; Papageorgiou, Xanthi ; Papageorgopoulos, Nikos ; Pavlovic, Dusan ; Politi, Elena ; Stroumpou, Vicky ; Vontas, Apostolos ; Kyriazis, Dimosthenis .
In: International Conference on Distributed Computing in Sensor Systems and workshops., 2023, p. 548-555.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values
AU - Manias, George
AU - Apostolopoulos, Dimitris
AU - Athanassopoulos, Sotiris
AU - Borotis, Spiros
AU - Chatzimallis, Charalampos
AU - Chatzipantelis, Theodoros
AU - Corrales Compagnucci, Marcelo
AU - Zdolsek Draksler, Tanja
AU - Fournier, Fabiana
AU - Goralczyk, Magdalena
AU - Gucek, Alenka
AU - Karabetian, Andreas
AU - Kefala, Stavroula
AU - Kotios, Dimitris
AU - Kovacic, Matej
AU - Kyrkou, Danai
AU - Limonad, Lior
AU - Magopoulou, Sofia
AU - Mavrogiorgos, Konstantinos
AU - Moumtzi, Vasiliki
AU - Nechifor, Septimiu
AU - Ntalaperas, Dimitris
AU - Panagiotidou, Georgia
AU - Papadopoulou, Martha
AU - Papageorgiou, Xanthi
AU - Papageorgopoulos, Nikos
AU - Pavlovic, Dusan
AU - Politi, Elena
AU - Stroumpou, Vicky
AU - Vontas, Apostolos
AU - Kyriazis, Dimosthenis
N1 - Conference code: 19th
PY - 2023
Y1 - 2023
N2 - 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 thatdecision-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.
AB - 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 thatdecision-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.
UR - https://ieeexplore.ieee.org/document/10257230
U2 - 10.1109/DCOSS-IoT58021.2023.00090
DO - 10.1109/DCOSS-IoT58021.2023.00090
M3 - Conference article
SP - 548
EP - 555
JO - International Conference on Distributed Computing in Sensor Systems and workshops.
JF - International Conference on Distributed Computing in Sensor Systems and workshops.
SN - 2325-2936
T2 - International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
Y2 - 19 June 2023 through 21 June 2023
ER -
ID: 345873067