The role and challenges of education for responsible AI

Artificial intelligence (AI) is impacting education in many different ways. From virtual assistants for personalized education, to student or teacher tracking systems, the potential benefits of AI for education often come with a discussion of its impact on privacy and well-being. At the same time, the social transformation brought about by AI requires reform of traditional education systems. This article discusses what a responsible, trustworthy vision for AI is and how this relates to and affects education

Open agent systems???

E-institutions are envisioned as facilities on the Internet for heterogeneous software agents to perform their interactions and thus forming truly open agent systems. We investigate how these heterogeneous agents can determine whether an institution is one in which they can participate. We propose a layered approach which is supported through a (traditional) middle agent that is part of the environment. Starting with a basic compatibility of message types, each extra layer ensures a higher degree of compatibility, but requires also extra sophistication in both the information required and the matching algorithms. In this paper, we describe reasoning about how an agent should take on a specific role, message matching, and protocol compatibility. We explore the issues in the context of an actual accommodation agent built in JACK, and a travel agency institution built in ISLANDER

A Conversational Agent for Social Support: Validation of Supportive Dialogue Sequences

Recently, we proposed a dialogue model for social support. To validate this model, we analyzed 23 real world chat conversations. After some adjustments, the dialogue sequence patterns specified in the model cover 87.4% of the data. Based on this result, we conclude that the dialogue model accurately describes comforting conversations. Next, the model will be incorporated into a comforting ECA

Evaluating organizational configurations

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OperA/ALIVE/OperettA

Comprehensive models for organizations must, on the one hand, be able to specify global goals and requirements but, on the other hand, cannot assume that particular actors will always act according to the needs and expectations of the system design. Concepts as organizational rules (Zambonelli 2002), norms and institutions (Dignum and Dignum 2001; Esteva et al. 2002), and social structures (Parunak and Odell 2002) arise from the idea that the effective engineering of organizations needs high-level, actor-independent concepts and abstractions that explicitly define the organization in which agents live (Zambonelli 2002).Peer ReviewedPostprint (author's final draft

Long-term Research Strategy for Artificial Intelligence and Ethics at the Police

Effective Protection of Fundamental Rights in a pluralist worl