Pedagogical conversational agents (CA) support formal and informal learning to help students achieve better learning outcomes by providing information, guidance or fostering reflections. Even though the extant literature suggests that pedagogical CAs can improve learning outcomes, there exists no empirical evidence of what design features drive this effect. We will briefly report on a study we conducted in this field. Furthermore, we will provide a short demonstration of a quiz situation with a social robot (NAO), which will give insights how such a future learning context might look like.
While research discussing and determining the need for autonomy in production systems exists, no publications focus on the architectural perspective so far. Heterarchical production planning and control architectures are only needed, when hierarchical architectures have troubles handling the underlying system complexity. Here, literature however does not depict the interactions between a growing system complexity and the computational complexity of the related planning tasks. In this talk, I argue that both of these perspectives are necessary, and that a conscious choice of a production planning and control architecture is needed to fulfill the requirements imposed by Industry 4.0. Information Systems as a discipline is in the unique role of being capable of connecting the different research streams needed to tackle these questions.
The rise of the digital society is accompanied by incalculable social risks, but very little IS research has examined the implications of the new digital society. Drawing on concepts from Beck’s critical theory of the risk society and critical discourse analysis, this study examines the public discourse on risk events during the launch of NemID, a personal digital identifier for Danish citizens.
In this talk, Stefan shares insights about the EU project "RISE_SMA - Social Media Analytics for Society and Crisis Communication". The project involves ERCIS partners from Germany, The Netherlands, Norway and Australia.
The biometric comparator is the core engine of most biometric recognition systems. Its current realisations are predominantly based on machine learning. In the talk I will first review the underlying principles, which differ from those of standard machine-learning based classification, and their relation to statistical optimality. Next, I will address various security and privacy risks of the storage and processing of biometric data and discuss proposed privacy enhancing solutions.
The talk provides an overview of current trends and research fields in science communication research and how science communication has changed in digital media environments. It will deal with the benefits for and challenges of science communication online and will outline the frameworks for analysis.
The automotive insurance market is undergoing fundamental changes with the advent of novel Insurance Technology (InsurTec), mobility initiatives such as autonomous vehicles, car sharing and subscription models for new cars, and the emergence of new forms of insurance such as short-term cover, pay per use and advanced analytics, which can encourage drivers to improve their driving behaviour. The traditional forms of insurance and information exchange are being augmented or replaced by behavioural insurance that uses telematics and Artificial Intelligence (AI) to analyse and interpret the wealth of big data that is generated from car driving behaviour. This case study discusses the changes and innovations in HUK-COBURG’s operations and business model, including risk profiling, evaluation of driver behaviour, data analytics, ethical considerations of behavioural insurance, the business case for telematics and HUK’s implementation philosophy for new technology and AI.
Artificial Intelligence for a Better Future – An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies
Smart information systems (SIS), those systems that incorporate artificial intelligence techniques, in particular machine learning and big data analytics, are widely expected to have a significant impact on our world. They raise significant hopes, for example to better understand and cure diseases, to revolutionize transport, to optimize business processes or reduce carbon emissions. At the same time, they raise many ethical and social concerns, ranging from worries about biases and resulting discrimination to the distribution of socio-economic and political power and their impact on democracy. A case in point is the discourse on the use of contact tracing apps during the novel coronavirus pandemic. Contact tracing has proven its effectiveness in disease containment for 500 years, but the application of advanced information technologies raises concerns about privacy, discrimination, and exclusion from essential public services to entirely new levels
Disinformation is changing its face. The foreign and artificial element gets more concealed, and with the involvement of domestic authors, contributors and amplifiers, the manipulative content gradually takes root within the national public discourse of the receiving state. Often, the content is not even factually false, but primarily polarising and manipulative in nature. Often the manipulative or false content is spread by persons of political authority whose right to freedom of expression enjoys even wider scope.
Disinformation and manipulation campaigns are frequently carried out on social media with the aim to mislead and to influence online crowds. In order to be successful, each campaign must spread to and “infect” a large number of users. This often mandates large coordinated efforts, as well as the use of bot and troll armies, for the campaign to obtain significant outreach, to exert influence, and to have an impact.