165 research outputs found

    Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination

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    Knowledge Graphs (KGs) have emerged as fundamental platforms for powering intelligent decision-making and a wide range of Artificial Intelligence (AI) services across major corporations such as Google, Walmart, and AirBnb. KGs complement Machine Learning (ML) algorithms by providing data context and semantics, thereby enabling further inference and question-answering capabilities. The integration of KGs with neuronal learning (e.g., Large Language Models (LLMs)) is currently a topic of active research, commonly named neuro-symbolic AI. Despite the numerous benefits that can be accomplished with KG-based AI, its growing ubiquity within online services may result in the loss of self-determination for citizens as a fundamental societal issue. The more we rely on these technologies, which are often centralised, the less citizens will be able to determine their own destinies. To counter this threat, AI regulation, such as the European Union (EU) AI Act, is being proposed in certain regions. The regulation sets what technologists need to do, leading to questions concerning: How can the output of AI systems be trusted? What is needed to ensure that the data fuelling and the inner workings of these artefacts are transparent? How can AI be made accountable for its decision-making? This paper conceptualises the foundational topics and research pillars to support KG-based AI for self-determination. Drawing upon this conceptual framework, challenges and opportunities for citizen self-determination are illustrated and analysed in a real-world scenario. As a result, we propose a research agenda aimed at accomplishing the recommended objectives

    Trust, Accountability, and Autonomy in Knowledge Graph-Based AI for Self-Determination

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    Knowledge Graphs (KGs) have emerged as fundamental platforms for powering intelligent decision-making and a wide range of Artificial Intelligence (AI) services across major corporations such as Google, Walmart, and AirBnb. KGs complement Machine Learning (ML) algorithms by providing data context and semantics, thereby enabling further inference and question-answering capabilities. The integration of KGs with neuronal learning (e.g., Large Language Models (LLMs)) is currently a topic of active research, commonly named neuro-symbolic AI. Despite the numerous benefits that can be accomplished with KG-based AI, its growing ubiquity within online services may result in the loss of self-determination for citizens as a fundamental societal issue. The more we rely on these technologies, which are often centralised, the less citizens will be able to determine their own destinies. To counter this threat, AI regulation, such as the European Union (EU) AI Act, is being proposed in certain regions. The regulation sets what technologists need to do, leading to questions concerning How the output of AI systems can be trusted? What is needed to ensure that the data fuelling and the inner workings of these artefacts are transparent? How can AI be made accountable for its decision-making? This paper conceptualises the foundational topics and research pillars to support KG-based AI for self-determination. Drawing upon this conceptual framework, challenges and opportunities for citizen self-determination are illustrated and analysed in a real-world scenario. As a result, we propose a research agenda aimed at accomplishing the recommended objectives

    Energy Mean-Payoff Games

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    In this paper, we study one-player and two-player energy mean-payoff games. Energy mean-payoff games are games of infinite duration played on a finite graph with edges labeled by 2-dimensional weight vectors. The objective of the first player (the protagonist) is to satisfy an energy objective on the first dimension and a mean-payoff objective on the second dimension. We show that optimal strategies for the first player may require infinite memory while optimal strategies for the second player (the antagonist) do not require memory. In the one-player case (where only the first player has choices), the problem of deciding who is the winner can be solved in polynomial time while for the two-player case we show co-NP membership and we give effective constructions for the infinite-memory optimal strategies of the protagonist

    Identity and Privacy Governance

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    The future of Cybersecurity in Italy: Strategic focus area

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    This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

    The Church's one foundation: the Anglican origins and ecclesiological significance of the 1920 Lambeth "Appeal to all Christian people"

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    How can the Anglican Communion resolve its problems of internal ecumenism to overcome the threat of rupture that faces it at the beginning of the twenty-first century? Anglican identity is not monolithic but pluriform within the particularity of its tradition. The Anglican way of being Christian is one that is discursive rather than definitive, aware of its roots but open to new expression of itself – and aware of the conditionality of any expression of Church in this passing world. However, from time to time, there are tensions within the tradition between those who hold differing views. In 1867, facing the challenge of maintaining Anglican unity, Archbishop Longley summoned a meeting of Anglican bishops who sought collective understanding in a discursive, dialogic fashion and which evolved into a Lambeth Conference Tradition. The bishops sought the common mind of the Church on problematic questions, always aware of the mutability of their conclusions and often willing to change their view according to changed circumstances. In this way they sought to maintain Anglican unity and the principle of comprehension whereby the tradition sought to be inclusive of diversity. The Sixth Conference in 1920 sought to address the wider question of Christian unity by employing the same methodology. The Appeal to All Christian People was intended to draw the churches into engagement with one another to overcome their differences and achieve a degree of ecclesial unity. Reconciliation of Christians with each other was set at the heart of ecumenical discourse and bore fruit in important ways. This thesis proposes that the same methodology can and should be deployed to address the disputes that exist within the Anglican Communion at the beginning of the twenty-first century. The Lambeth Conference Tradition is an essential element in Anglican heritage that Anglicans may only ignore at their peril
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